Pandas Profiling Report

Dataset statistics

Number of variables	57
Number of observations	232130
Missing cells	45628
Missing cells (%)	0.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	100.9 MiB
Average record size in memory	456.0 B

Variable types

Numeric	31
Categorical	26

Warnings

`날짜` has a high cardinality: 219007 distinct values	High cardinality
`유저이름` has a high cardinality: 28397 distinct values	High cardinality
`선수1` has a high cardinality: 4632 distinct values	High cardinality
`선수2` has a high cardinality: 4680 distinct values	High cardinality
`선수3` has a high cardinality: 4897 distinct values	High cardinality
`선수4` has a high cardinality: 4998 distinct values	High cardinality
`선수5` has a high cardinality: 5137 distinct values	High cardinality
`선수6` has a high cardinality: 5265 distinct values	High cardinality
`선수7` has a high cardinality: 5413 distinct values	High cardinality
`선수8` has a high cardinality: 5413 distinct values	High cardinality
`선수9` has a high cardinality: 5626 distinct values	High cardinality
`선수10` has a high cardinality: 5680 distinct values	High cardinality
`선수11` has a high cardinality: 5702 distinct values	High cardinality
`선수12` has a high cardinality: 5859 distinct values	High cardinality
`선수13` has a high cardinality: 5956 distinct values	High cardinality
`선수14` has a high cardinality: 6080 distinct values	High cardinality
`선수15` has a high cardinality: 6141 distinct values	High cardinality
`선수16` has a high cardinality: 6221 distinct values	High cardinality
`선수17` has a high cardinality: 6462 distinct values	High cardinality
`선수18` has a high cardinality: 6773 distinct values	High cardinality
`전체슈팅` is highly correlated with `유효슈팅`	High correlation
`유효슈팅` is highly correlated with `전체슈팅`	High correlation
`드리블횟수` is highly correlated with `패스시도` and 1 other fields	High correlation
`패스시도` is highly correlated with `드리블횟수` and 3 other fields	High correlation
`패스성공` is highly correlated with `드리블횟수` and 3 other fields	High correlation
`숏패스시도` is highly correlated with `패스시도` and 2 other fields	High correlation
`숏패스성공` is highly correlated with `패스시도` and 2 other fields	High correlation
`쓰루패스시도` is highly correlated with `쓰루패스성공`	High correlation
`쓰루패스성공` is highly correlated with `쓰루패스시도`	High correlation
`드리븐패스시도` is highly correlated with `드리븐패스성공`	High correlation
`드리븐패스성공` is highly correlated with `드리븐패스시도`	High correlation
`선수1` has 2466 (1.1%) missing values	Missing
`선수2` has 2493 (1.1%) missing values	Missing
`선수3` has 2498 (1.1%) missing values	Missing
`선수4` has 2557 (1.1%) missing values	Missing
`선수5` has 2595 (1.1%) missing values	Missing
`선수6` has 2523 (1.1%) missing values	Missing
`선수7` has 2520 (1.1%) missing values	Missing
`선수8` has 2504 (1.1%) missing values	Missing
`선수9` has 2484 (1.1%) missing values	Missing
`선수10` has 2477 (1.1%) missing values	Missing
`선수11` has 2564 (1.1%) missing values	Missing
`선수12` has 2549 (1.1%) missing values	Missing
`선수13` has 2505 (1.1%) missing values	Missing
`선수14` has 2507 (1.1%) missing values	Missing
`선수15` has 2578 (1.1%) missing values	Missing
`선수16` has 2552 (1.1%) missing values	Missing
`선수17` has 2575 (1.1%) missing values	Missing
`선수18` has 2679 (1.2%) missing values	Missing
`matchID` is uniformly distributed	Uniform
`날짜` is uniformly distributed	Uniform
`matchID` has unique values	Unique
`득점수` has 55548 (23.9%) zeros	Zeros
`전체슈팅` has 6963 (3.0%) zeros	Zeros
`유효슈팅` has 11231 (4.8%) zeros	Zeros
`자살골` has 227623 (98.1%) zeros	Zeros
`헤딩슛` has 139847 (60.2%) zeros	Zeros
`헤딩골` has 207160 (89.2%) zeros	Zeros
`프리킥` has 208477 (89.8%) zeros	Zeros
`중거리슛` has 67168 (28.9%) zeros	Zeros
`중거리골` has 180282 (77.7%) zeros	Zeros
`파울` has 123275 (53.1%) zeros	Zeros
`옐로카드` has 219603 (94.6%) zeros	Zeros
`드리블횟수` has 2496 (1.1%) zeros	Zeros
`코너킥횟수` has 75361 (32.5%) zeros	Zeros
`점유율` has 2346 (1.0%) zeros	Zeros
`오프사이드횟수` has 164372 (70.8%) zeros	Zeros
`평점` has 2705 (1.2%) zeros	Zeros
`블락시도` has 4290 (1.8%) zeros	Zeros
`블락성공` has 119967 (51.7%) zeros	Zeros
`태클시도` has 3050 (1.3%) zeros	Zeros
`태클성공` has 4107 (1.8%) zeros	Zeros
`패스시도` has 2487 (1.1%) zeros	Zeros
`패스성공` has 2523 (1.1%) zeros	Zeros
`숏패스시도` has 2807 (1.2%) zeros	Zeros
`숏패스성공` has 2816 (1.2%) zeros	Zeros
`롱패스시도` has 11239 (4.8%) zeros	Zeros
`롱패스성공` has 24078 (10.4%) zeros	Zeros
`쓰루패스시도` has 3072 (1.3%) zeros	Zeros
`쓰루패스성공` has 3181 (1.4%) zeros	Zeros
`드리븐패스시도` has 46754 (20.1%) zeros	Zeros
`드리븐패스성공` has 58402 (25.2%) zeros	Zeros

Reproduction

Analysis started	2021-01-27 09:07:00.161870
Analysis finished	2021-01-27 09:10:37.091502
Duration	3 minutes and 36.93 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

matchID
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	232130
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1668367.5
Minimum	1552303
Maximum	1784432
Zeros	0
Zeros (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	1552303
5-th percentile	1563909.45
Q1	1610335.25
median	1668367.5
Q3	1726399.75
95-th percentile	1772825.55
Maximum	1784432
Range	232129
Interquartile range (IQR)	116064.5

Descriptive statistics

Standard deviation	67010.30333
Coefficient of variation (CV)	0.04016519342
Kurtosis	-1.2
Mean	1668367.5
Median Absolute Deviation (MAD)	58032.5
Skewness	-7.916683931 × 10¹⁶
Sum	3.872781478 × 10¹¹
Variance	4490380752
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1574911	1	< 0.1%
1689964	1	< 0.1%
1558956	1	< 0.1%
1569195	1	< 0.1%
1571242	1	< 0.1%
1565097	1	< 0.1%
1567144	1	< 0.1%
1552803	1	< 0.1%
1554850	1	< 0.1%
1659263	1	< 0.1%
Other values (232120)	232120	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1552303	1	< 0.1%
1552304	1	< 0.1%
1552305	1	< 0.1%
1552306	1	< 0.1%
1552307	1	< 0.1%

Value	Count	Frequency (%)
1784432	1	< 0.1%
1784431	1	< 0.1%
1784430	1	< 0.1%
1784429	1	< 0.1%
1784428	1	< 0.1%

득점수
Real number (ℝ_≥0)

ZEROS

Distinct	21
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.490647482
Minimum	0
Maximum	22
Zeros	55548
Zeros (%)	23.9%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	2
95-th percentile	4
Maximum	22
Range	22
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.275694979
Coefficient of variation (CV)	0.8557992376
Kurtosis	5.168281408
Mean	1.490647482
Median Absolute Deviation (MAD)	1
Skewness	1.264076846
Sum	346024
Variance	1.627397678
Monotocity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
1	73871	31.8%
2	57998	25.0%
0	55548	23.9%
3	30074	13.0%
4	10443	4.5%
5	2802	1.2%
6	739	0.3%
7	253	0.1%
8	144	0.1%
9	97	< 0.1%
Other values (11)	161	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	55548	23.9%
1	73871	31.8%
2	57998	25.0%
3	30074	13.0%
4	10443	4.5%

Value	Count	Frequency (%)
22	1	< 0.1%
21	1	< 0.1%
19	1	< 0.1%
17	4	< 0.1%
16	8	< 0.1%

전체슈팅
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.997583251
Minimum	0
Maximum	30
Zeros	6963
Zeros (%)	3.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	5
Q3	7
95-th percentile	10
Maximum	30
Range	30
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.757730974
Coefficient of variation (CV)	0.5518129135
Kurtosis	1.348317045
Mean	4.997583251
Median Absolute Deviation (MAD)	2
Skewness	0.7387509059
Sum	1160089
Variance	7.605080124
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
4	35650	15.4%
5	33829	14.6%
3	31488	13.6%
6	28819	12.4%
2	22382	9.6%
7	21768	9.4%
8	14989	6.5%
1	11979	5.2%
9	9963	4.3%
0	6963	3.0%
Other values (21)	14300	6.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6963	3.0%
1	11979	5.2%
2	22382	9.6%
3	31488	13.6%
4	35650	15.4%

Value	Count	Frequency (%)
30	1	< 0.1%
29	3	< 0.1%
28	2	< 0.1%
27	2	< 0.1%
26	6	< 0.1%

유효슈팅
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	28
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.821242407
Minimum	0
Maximum	28
Zeros	11231
Zeros (%)	4.8%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	5
95-th percentile	8
Maximum	28
Range	28
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.268887564
Coefficient of variation (CV)	0.5937565123
Kurtosis	1.589856545
Mean	3.821242407
Median Absolute Deviation (MAD)	2
Skewness	0.7849445089
Sum	887025
Variance	5.14785078
Monotocity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
3	42758	18.4%
4	40013	17.2%
2	36188	15.6%
5	31424	13.5%
1	22142	9.5%
6	21142	9.1%
7	12853	5.5%
0	11231	4.8%
8	7065	3.0%
9	3649	1.6%
Other values (18)	3665	1.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	11231	4.8%
1	22142	9.5%
2	36188	15.6%
3	42758	18.4%
4	40013	17.2%

Value	Count	Frequency (%)
28	1	< 0.1%
26	1	< 0.1%
25	4	< 0.1%
24	1	< 0.1%
23	4	< 0.1%

자살골
Real number (ℝ_≥0)

ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.01985094559
Minimum	0
Maximum	5
Zeros	227623
Zeros (%)	98.1%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.1436870329
Coefficient of variation (CV)	7.238296646
Kurtosis	81.04266895
Mean	0.01985094559
Median Absolute Deviation (MAD)	0
Skewness	7.92133719
Sum	4608
Variance	0.02064596342
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	227623	98.1%
1	4431	1.9%
2	61	< 0.1%
3	7	< 0.1%
4	6	< 0.1%
5	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	227623	98.1%
1	4431	1.9%
2	61	< 0.1%
3	7	< 0.1%
4	6	< 0.1%

Value	Count	Frequency (%)
5	2	< 0.1%
4	6	< 0.1%
3	7	< 0.1%
2	61	< 0.1%
1	4431	1.9%

헤딩슛
Real number (ℝ_≥0)

ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.5888726145
Minimum	0
Maximum	9
Zeros	139847
Zeros (%)	60.2%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	9
Range	9
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8849557559
Coefficient of variation (CV)	1.502796588
Kurtosis	4.365792409
Mean	0.5888726145
Median Absolute Deviation (MAD)	0
Skewness	1.847798622
Sum	136695
Variance	0.7831466898
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	139847	60.2%
1	61076	26.3%
2	21789	9.4%
3	6675	2.9%
4	1971	0.8%
5	564	0.2%
6	155	0.1%
7	43	< 0.1%
8	9	< 0.1%
9	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	139847	60.2%
1	61076	26.3%
2	21789	9.4%
3	6675	2.9%
4	1971	0.8%

Value	Count	Frequency (%)
9	1	< 0.1%
8	9	< 0.1%
7	43	< 0.1%
6	155	0.1%
5	564	0.2%

헤딩골
Real number (ℝ_≥0)

ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1174988153
Minimum	0
Maximum	5
Zeros	207160
Zeros (%)	89.2%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.3539193205
Coefficient of variation (CV)	3.012109693
Kurtosis	11.39663604
Mean	0.1174988153
Median Absolute Deviation (MAD)	0
Skewness	3.201499107
Sum	27275
Variance	0.1252588854
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	207160	89.2%
1	22849	9.8%
2	1950	0.8%
3	159	0.1%
4	11	< 0.1%
5	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	207160	89.2%
1	22849	9.8%
2	1950	0.8%
3	159	0.1%
4	11	< 0.1%

Value	Count	Frequency (%)
5	1	< 0.1%
4	11	< 0.1%
3	159	0.1%
2	1950	0.8%
1	22849	9.8%

프리킥
Real number (ℝ_≥0)

ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1095851463
Minimum	0
Maximum	5
Zeros	208477
Zeros (%)	89.8%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.3379428165
Coefficient of variation (CV)	3.083837802
Kurtosis	11.50276087
Mean	0.1095851463
Median Absolute Deviation (MAD)	0
Skewness	3.231540293
Sum	25438
Variance	0.1142053472
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	208477	89.8%
1	22000	9.5%
2	1533	0.7%
3	109	< 0.1%
4	10	< 0.1%
5	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	208477	89.8%
1	22000	9.5%
2	1533	0.7%
3	109	< 0.1%
4	10	< 0.1%

Value	Count	Frequency (%)
5	1	< 0.1%
4	10	< 0.1%
3	109	< 0.1%
2	1533	0.7%
1	22000	9.5%

프리킥골
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

0	229425
1	2687
2	18

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	232130
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	229425	98.8%
1	2687	1.2%
2	18	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	229425	98.8%
1	2687	1.2%
2	18	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	229425	98.8%
1	2687	1.2%
2	18	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	232130	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	229425	98.8%
1	2687	1.2%
2	18	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	232130	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	229425	98.8%
1	2687	1.2%
2	18	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	232130	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	229425	98.8%
1	2687	1.2%
2	18	< 0.1%

중거리슛
Real number (ℝ_≥0)

ZEROS

Distinct	19
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.483095679
Minimum	0
Maximum	21
Zeros	67168
Zeros (%)	28.9%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	21
Range	21
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.447179181
Coefficient of variation (CV)	0.9757827506
Kurtosis	2.842350789
Mean	1.483095679
Median Absolute Deviation (MAD)	1
Skewness	1.310197587
Sum	344271
Variance	2.094327583
Monotocity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
1	69761	30.1%
0	67168	28.9%
2	47698	20.5%
3	26132	11.3%
4	12342	5.3%
5	5392	2.3%
6	2164	0.9%
7	875	0.4%
8	354	0.2%
9	120	0.1%
Other values (9)	124	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	67168	28.9%
1	69761	30.1%
2	47698	20.5%
3	26132	11.3%
4	12342	5.3%

Value	Count	Frequency (%)
21	2	< 0.1%
19	1	< 0.1%
17	1	< 0.1%
16	2	< 0.1%
14	1	< 0.1%

중거리골
Real number (ℝ_≥0)

ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.2631585749
Minimum	0
Maximum	12
Zeros	180282
Zeros (%)	77.7%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	12
Range	12
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5381884832
Coefficient of variation (CV)	2.04511095
Kurtosis	8.85733841
Mean	0.2631585749
Median Absolute Deviation (MAD)	0
Skewness	2.397230308
Sum	61087
Variance	0.2896468435
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	180282	77.7%
1	43994	19.0%
2	6770	2.9%
3	889	0.4%
4	128	0.1%
5	47	< 0.1%
6	12	< 0.1%
7	3	< 0.1%
9	2	< 0.1%
8	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	180282	77.7%
1	43994	19.0%
2	6770	2.9%
3	889	0.4%
4	128	0.1%

Value	Count	Frequency (%)
12	1	< 0.1%
9	2	< 0.1%
8	2	< 0.1%
7	3	< 0.1%
6	12	< 0.1%

패널티킥
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

0	219472
1	12255
2	395
3	7
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	232130
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	219472	94.5%
1	12255	5.3%
2	395	0.2%
3	7	< 0.1%
4	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	219472	94.5%
1	12255	5.3%
2	395	0.2%
3	7	< 0.1%
4	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	219472	94.5%
1	12255	5.3%
2	395	0.2%
3	7	< 0.1%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	232130	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	219472	94.5%
1	12255	5.3%
2	395	0.2%
3	7	< 0.1%
4	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	232130	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	219472	94.5%
1	12255	5.3%
2	395	0.2%
3	7	< 0.1%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	232130	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	219472	94.5%
1	12255	5.3%
2	395	0.2%
3	7	< 0.1%
4	1	< 0.1%

패널티골
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

0	222501
1	9397
2	228
3	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	232130
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	222501	95.9%
1	9397	4.0%
2	228	0.1%
3	4	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	222501	95.9%
1	9397	4.0%
2	228	0.1%
3	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	222501	95.9%
1	9397	4.0%
2	228	0.1%
3	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	232130	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	222501	95.9%
1	9397	4.0%
2	228	0.1%
3	4	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	232130	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	222501	95.9%
1	9397	4.0%
2	228	0.1%
3	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	232130	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	222501	95.9%
1	9397	4.0%
2	228	0.1%
3	4	< 0.1%

날짜
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	219007
Distinct (%)	94.3%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

2021-01-17T15:53:06	5
2021-01-12T23:42:22	4
2021-01-17T19:55:21	4
2021-01-17T20:54:37	4
2021-01-13T21:50:07	4
Other values (219002)	232109

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	4410470
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	206558 ?
Unique (%)	89.0%

Sample

1st row	2021-01-23T04:00:32
2nd row	2021-01-23T03:49:12
3rd row	2021-01-23T03:38:04
4th row	2021-01-23T03:25:26
5th row	2021-01-23T03:07:50

Value	Count	Frequency (%)
2021-01-17T15:53:06	5	< 0.1%
2021-01-12T23:42:22	4	< 0.1%
2021-01-17T19:55:21	4	< 0.1%
2021-01-17T20:54:37	4	< 0.1%
2021-01-13T21:50:07	4	< 0.1%
2021-01-09T16:48:31	4	< 0.1%
2021-01-17T20:48:49	4	< 0.1%
2021-01-21T15:26:05	4	< 0.1%
2021-01-18T16:14:02	4	< 0.1%
2021-01-17T16:22:38	4	< 0.1%
Other values (218997)	232089	> 99.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-01-17t15:53:06	5	< 0.1%
2021-01-17t19:55:21	4	< 0.1%
2021-01-21t16:43:17	4	< 0.1%
2021-01-09t20:03:11	4	< 0.1%
2021-01-17t20:48:49	4	< 0.1%
2021-01-09t16:48:31	4	< 0.1%
2021-01-19t16:49:12	4	< 0.1%
2021-01-12t23:42:22	4	< 0.1%
2021-01-19t22:05:23	4	< 0.1%
2021-01-18t18:02:51	4	< 0.1%
Other values (218997)	232089	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
1	834235	18.9%
2	805586	18.3%
0	761375	17.3%
-	464260	10.5%
:	464260	10.5%
T	232130	5.3%
3	182163	4.1%
5	161011	3.7%
4	157349	3.6%
9	91113	2.1%
Other values (3)	256988	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3249820	73.7%
Dash Punctuation	464260	10.5%
Other Punctuation	464260	10.5%
Uppercase Letter	232130	5.3%

Most frequent character per category

Value	Count	Frequency (%)
1	834235	25.7%
2	805586	24.8%
0	761375	23.4%
3	182163	5.6%
5	161011	5.0%
4	157349	4.8%
9	91113	2.8%
6	87842	2.7%
7	86967	2.7%
8	82179	2.5%

Value	Count	Frequency (%)
-	464260	100.0%

Value	Count	Frequency (%)
T	232130	100.0%

Value	Count	Frequency (%)
:	464260	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4178340	94.7%
Latin	232130	5.3%

Most frequent character per script

Value	Count	Frequency (%)
1	834235	20.0%
2	805586	19.3%
0	761375	18.2%
-	464260	11.1%
:	464260	11.1%
3	182163	4.4%
5	161011	3.9%
4	157349	3.8%
9	91113	2.2%
6	87842	2.1%
Other values (2)	169146	4.0%

Value	Count	Frequency (%)
T	232130	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4410470	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	834235	18.9%
2	805586	18.3%
0	761375	17.3%
-	464260	10.5%
:	464260	10.5%
T	232130	5.3%
3	182163	4.1%
5	161011	3.7%
4	157349	3.6%
9	91113	2.1%
Other values (3)	256988	5.8%

유저이름
Categorical

HIGH CARDINALITY

Distinct	28397
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

다9리	307
WAAC초인	275
Unvary유기정	217
볼빨간개간로	207
전철루	205
Other values (28392)	230919

Length

Max length	16
Median length	6
Mean length	6.056153879
Min length	2

Characters and Unicode

Total characters	1405815
Distinct characters	2039
Distinct categories	4 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13955 ?
Unique (%)	6.0%

Sample

1st row	TeamKoreaNo1
2nd row	SaddlerHS
3rd row	워리어
4th row	울산이창욱
5th row	TeamKoreaNo1

Value	Count	Frequency (%)
다9리	307	0.1%
WAAC초인	275	0.1%
Unvary유기정	217	0.1%
볼빨간개간로	207	0.1%
전철루	205	0.1%
형욱킬러	195	0.1%
쏘댸장	194	0.1%
놈코어지성	189	0.1%
CrazyWin이호	185	0.1%
lIIlIllIlIIlIllI	183	0.1%
Other values (28387)	229973	99.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
다9리	307	0.1%
waac초인	275	0.1%
unvary유기정	217	0.1%
볼빨간개간로	207	0.1%
전철루	205	0.1%
형욱킬러	195	0.1%
쏘댸장	194	0.1%
놈코어지성	189	0.1%
crazywin이호	185	0.1%
liililliliililli	183	0.1%
Other values (28387)	229973	99.1%

Most occurring characters

Value	Count	Frequency (%)
a	34788	2.5%
e	32485	2.3%
n	30995	2.2%
i	29805	2.1%
이	26518	1.9%
o	25926	1.8%
l	22083	1.6%
r	19511	1.4%
s	18372	1.3%
A	17091	1.2%
Other values (2029)	1148241	81.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	796293	56.6%
Lowercase Letter	345980	24.6%
Uppercase Letter	215860	15.4%
Decimal Number	47682	3.4%

Most frequent character per category

Value	Count	Frequency (%)
이	26518	3.3%
리	16621	2.1%
스	12543	1.6%
지	9473	1.2%
아	8913	1.1%
라	7682	1.0%
기	7344	0.9%
다	7204	0.9%
구	7197	0.9%
우	7100	0.9%
Other values (1967)	685698	86.1%

Value	Count	Frequency (%)
A	17091	7.9%
T	13971	6.5%
S	13757	6.4%
F	13481	6.2%
I	13040	6.0%
E	12874	6.0%
N	12374	5.7%
C	11664	5.4%
R	9806	4.5%
L	9399	4.4%
Other values (16)	88403	41.0%

Value	Count	Frequency (%)
a	34788	10.1%
e	32485	9.4%
n	30995	9.0%
i	29805	8.6%
o	25926	7.5%
l	22083	6.4%
r	19511	5.6%
s	18372	5.3%
t	16274	4.7%
u	16127	4.7%
Other values (16)	99614	28.8%

Value	Count	Frequency (%)
1	9594	20.1%
2	9257	19.4%
0	9081	19.0%
9	4012	8.4%
7	3379	7.1%
3	3020	6.3%
4	2860	6.0%
5	2343	4.9%
8	2277	4.8%
6	1859	3.9%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	796293	56.6%
Latin	561840	40.0%
Common	47682	3.4%

Most frequent character per script

Value	Count	Frequency (%)
이	26518	3.3%
리	16621	2.1%
스	12543	1.6%
지	9473	1.2%
아	8913	1.1%
라	7682	1.0%
기	7344	0.9%
다	7204	0.9%
구	7197	0.9%
우	7100	0.9%
Other values (1967)	685698	86.1%

Value	Count	Frequency (%)
a	34788	6.2%
e	32485	5.8%
n	30995	5.5%
i	29805	5.3%
o	25926	4.6%
l	22083	3.9%
r	19511	3.5%
s	18372	3.3%
A	17091	3.0%
t	16274	2.9%
Other values (42)	314510	56.0%

Value	Count	Frequency (%)
1	9594	20.1%
2	9257	19.4%
0	9081	19.0%
9	4012	8.4%
7	3379	7.1%
3	3020	6.3%
4	2860	6.0%
5	2343	4.9%
8	2277	4.8%
6	1859	3.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	796293	56.6%
ASCII	609522	43.4%

Most frequent character per block

Value	Count	Frequency (%)
a	34788	5.7%
e	32485	5.3%
n	30995	5.1%
i	29805	4.9%
o	25926	4.3%
l	22083	3.6%
r	19511	3.2%
s	18372	3.0%
A	17091	2.8%
t	16274	2.7%
Other values (52)	362192	59.4%

Value	Count	Frequency (%)
이	26518	3.3%
리	16621	2.1%
스	12543	1.6%
지	9473	1.2%
아	8913	1.1%
라	7682	1.0%
기	7344	0.9%
다	7204	0.9%
구	7197	0.9%
우	7100	0.9%
Other values (1967)	685698	86.1%

경기결과
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	2
Missing (%)	< 0.1%
Memory size	1.8 MiB

패	99437
승	98990
무	33701

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	232128
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	패
2nd row	패
3rd row	패
4th row	패
5th row	패

Value	Count	Frequency (%)
패	99437	42.8%
승	98990	42.6%
무	33701	14.5%
(Missing)	2	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
패	99437	42.8%
승	98990	42.6%
무	33701	14.5%

Most occurring characters

Value	Count	Frequency (%)
패	99437	42.8%
승	98990	42.6%
무	33701	14.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	232128	100.0%

Most frequent character per category

Value	Count	Frequency (%)
패	99437	42.8%
승	98990	42.6%
무	33701	14.5%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	232128	100.0%

Most frequent character per script

Value	Count	Frequency (%)
패	99437	42.8%
승	98990	42.6%
무	33701	14.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	232128	100.0%

Most frequent character per block

Value	Count	Frequency (%)
패	99437	42.8%
승	98990	42.6%
무	33701	14.5%

파울
Real number (ℝ_≥0)

ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.6659199586
Minimum	0
Maximum	11
Zeros	123275
Zeros (%)	53.1%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	11
Range	11
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8612801222
Coefficient of variation (CV)	1.293368837
Kurtosis	2.7664504
Mean	0.6659199586
Median Absolute Deviation (MAD)	0
Skewness	1.463643002
Sum	154580
Variance	0.7418034489
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	123275	53.1%
1	74386	32.0%
2	25749	11.1%
3	6743	2.9%
4	1556	0.7%
5	325	0.1%
6	68	< 0.1%
7	17	< 0.1%
8	10	< 0.1%
11	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	123275	53.1%
1	74386	32.0%
2	25749	11.1%
3	6743	2.9%
4	1556	0.7%

Value	Count	Frequency (%)
11	1	< 0.1%
8	10	< 0.1%
7	17	< 0.1%
6	68	< 0.1%
5	325	0.1%

부상
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

0	199880
1	29877
2	2267
3	99
4	7

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	232130
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	199880	86.1%
1	29877	12.9%
2	2267	1.0%
3	99	< 0.1%
4	7	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	199880	86.1%
1	29877	12.9%
2	2267	1.0%
3	99	< 0.1%
4	7	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	199880	86.1%
1	29877	12.9%
2	2267	1.0%
3	99	< 0.1%
4	7	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	232130	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	199880	86.1%
1	29877	12.9%
2	2267	1.0%
3	99	< 0.1%
4	7	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	232130	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	199880	86.1%
1	29877	12.9%
2	2267	1.0%
3	99	< 0.1%
4	7	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	232130	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	199880	86.1%
1	29877	12.9%
2	2267	1.0%
3	99	< 0.1%
4	7	< 0.1%

레드카드
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

0	230287
1	1801
2	37
3	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	232130
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	230287	99.2%
1	1801	0.8%
2	37	< 0.1%
3	5	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	230287	99.2%
1	1801	0.8%
2	37	< 0.1%
3	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	230287	99.2%
1	1801	0.8%
2	37	< 0.1%
3	5	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	232130	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	230287	99.2%
1	1801	0.8%
2	37	< 0.1%
3	5	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	232130	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	230287	99.2%
1	1801	0.8%
2	37	< 0.1%
3	5	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	232130	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	230287	99.2%
1	1801	0.8%
2	37	< 0.1%
3	5	< 0.1%

옐로카드
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.06031964847
Minimum	0
Maximum	6
Zeros	219603
Zeros (%)	94.6%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2692426548
Coefficient of variation (CV)	4.463597876
Kurtosis	41.00774113
Mean	0.06031964847
Median Absolute Deviation (MAD)	0
Skewness	5.45973994
Sum	14002
Variance	0.07249160718
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	219603	94.6%
1	11329	4.9%
2	982	0.4%
3	172	0.1%
4	32	< 0.1%
5	7	< 0.1%
6	5	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	219603	94.6%
1	11329	4.9%
2	982	0.4%
3	172	0.1%
4	32	< 0.1%

Value	Count	Frequency (%)
6	5	< 0.1%
5	7	< 0.1%
4	32	< 0.1%
3	172	0.1%
2	982	0.4%

드리블횟수
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	188
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	81.63070262
Minimum	0
Maximum	198
Zeros	2496
Zeros (%)	1.1%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	48
Q1	71
median	82
Q3	94
95-th percentile	116
Maximum	198
Range	198
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	21.64414555
Coefficient of variation (CV)	0.2651471181
Kurtosis	2.548375563
Mean	81.63070262
Median Absolute Deviation (MAD)	11
Skewness	-0.4945039474
Sum	18948935
Variance	468.4690365
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
82	5675	2.4%
79	5590	2.4%
83	5588	2.4%
77	5564	2.4%
80	5548	2.4%
81	5529	2.4%
76	5505	2.4%
84	5473	2.4%
78	5408	2.3%
85	5269	2.3%
Other values (178)	176981	76.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2496	1.1%
1	84	< 0.1%
2	50	< 0.1%
3	30	< 0.1%
4	41	< 0.1%

Value	Count	Frequency (%)
198	1	< 0.1%
195	1	< 0.1%
192	1	< 0.1%
190	1	< 0.1%
189	1	< 0.1%

코너킥횟수
Real number (ℝ_≥0)

ZEROS

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.329164692
Minimum	0
Maximum	13
Zeros	75361
Zeros (%)	32.5%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	13
Range	13
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.339432489
Coefficient of variation (CV)	1.007724999
Kurtosis	1.822806332
Mean	1.329164692
Median Absolute Deviation (MAD)	1
Skewness	1.215477634
Sum	308539
Variance	1.794079391
Monotocity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	75361	32.5%
1	71168	30.7%
2	45812	19.7%
3	23162	10.0%
4	10235	4.4%
5	4133	1.8%
6	1490	0.6%
7	536	0.2%
8	160	0.1%
9	55	< 0.1%
Other values (4)	18	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	75361	32.5%
1	71168	30.7%
2	45812	19.7%
3	23162	10.0%
4	10235	4.4%

Value	Count	Frequency (%)
13	1	< 0.1%
12	2	< 0.1%
11	2	< 0.1%
10	13	< 0.1%
9	55	< 0.1%

점유율
Real number (ℝ_≥0)

ZEROS

Distinct	99
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	49.63400681
Minimum	0
Maximum	100
Zeros	2346
Zeros (%)	1.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	39
Q1	46
median	50
Q3	54
95-th percentile	60
Maximum	100
Range	100
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	8.053175597
Coefficient of variation (CV)	0.1622511684
Kurtosis	13.61072529
Mean	49.63400681
Median Absolute Deviation (MAD)	4
Skewness	-2.143394206
Sum	11521542
Variance	64.8536372
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	15457	6.7%
51	14944	6.4%
49	14935	6.4%
52	14408	6.2%
48	14123	6.1%
53	13379	5.8%
47	13169	5.7%
54	12366	5.3%
46	11936	5.1%
55	10897	4.7%
Other values (89)	96516	41.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2346	1.0%
2	1	< 0.1%
3	2	< 0.1%
4	4	< 0.1%
5	4	< 0.1%

Value	Count	Frequency (%)
100	64	< 0.1%
99	1	< 0.1%
98	3	< 0.1%
97	1	< 0.1%
96	5	< 0.1%

오프사이드횟수
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.3557230862
Minimum	0
Maximum	6
Zeros	164372
Zeros (%)	70.8%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.6150053616
Coefficient of variation (CV)	1.728887962
Kurtosis	3.851085398
Mean	0.3557230862
Median Absolute Deviation (MAD)	0
Skewness	1.843120127
Sum	82574
Variance	0.3782315948
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	164372	70.8%
1	55077	23.7%
2	10846	4.7%
3	1579	0.7%
4	216	0.1%
5	36	< 0.1%
6	4	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	164372	70.8%
1	55077	23.7%
2	10846	4.7%
3	1579	0.7%
4	216	0.1%

Value	Count	Frequency (%)
6	4	< 0.1%
5	36	< 0.1%
4	216	0.1%
3	1579	0.7%
2	10846	4.7%

평점
Real number (ℝ_≥0)

ZEROS

Distinct	797
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.073216137
Minimum	0
Maximum	6.54444
Zeros	2705
Zeros (%)	1.2%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	3.39444
Q1	3.83333
median	4.10556
Q3	4.35556
95-th percentile	4.88889
Maximum	6.54444
Range	6.54444
Interquartile range (IQR)	0.52223

Descriptive statistics

Standard deviation	0.6161024775
Coefficient of variation (CV)	0.151257006
Kurtosis	20.26226679
Mean	4.073216137
Median Absolute Deviation (MAD)	0.26112
Skewness	-3.110386624
Sum	945515.6618
Variance	0.3795822627
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2705	1.2%
4.21667	1497	0.6%
4.17778	1464	0.6%
4.22222	1449	0.6%
4.2	1433	0.6%
4.20556	1410	0.6%
4.24444	1410	0.6%
4.23333	1410	0.6%
4.22778	1404	0.6%
4.18889	1401	0.6%
Other values (787)	216547	93.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2705	1.2%
2.17222	1	< 0.1%
2.38333	1	< 0.1%
2.42778	1	< 0.1%
2.46111	1	< 0.1%

Value	Count	Frequency (%)
6.54444	1	< 0.1%
6.42222	1	< 0.1%
6.32222	1	< 0.1%
6.21667	1	< 0.1%
6.19444	1	< 0.1%

선수1
Categorical

HIGH CARDINALITY
MISSING

Distinct	4632
Distinct (%)	2.0%
Missing	2466
Missing (%)	1.1%
Memory size	1.8 MiB

파올로 말디니	22208
미하엘 발락	20722
에마뉘엘 프티	12188
파트리크 비에이라	9353
마르셀 드사이	8812
Other values (4627)	156381

Length

Max length	12
Median length	7
Mean length	6.648734673
Min length	1

Characters and Unicode

Total characters	1526975
Distinct characters	717
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1582 ?
Unique (%)	0.7%

Sample

1st row	김두현
2nd row	에마뉘엘 프티
3rd row	미하엘 발락
4th row	파벨 네드베드
5th row	김두현

Value	Count	Frequency (%)
파올로 말디니	22208	9.6%
미하엘 발락	20722	8.9%
에마뉘엘 프티	12188	5.3%
파트리크 비에이라	9353	4.0%
마르셀 드사이	8812	3.8%
크리스티아누 호날두	5256	2.3%
솔 캠벨	4534	2.0%
클라렌스 세이도르프	4429	1.9%
A. 델피에로	4322	1.9%
파벨 네드베드	4109	1.8%
Other values (4622)	133731	57.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
파올로	22218	5.1%
말디니	22208	5.1%
미하엘	20777	4.8%
발락	20722	4.8%
프티	12188	2.8%
에마뉘엘	12188	2.8%
파트리크	9368	2.2%
비에이라	9357	2.2%
마르셀	8848	2.0%
드사이	8812	2.0%
Other values (5220)	287711	66.2%

Most occurring characters

Value	Count	Frequency (%)
	204733	13.4%
스	51807	3.4%
이	43874	2.9%
파	43814	2.9%
르	40412	2.6%
리	40221	2.6%
로	39729	2.6%
에	39672	2.6%
엘	37047	2.4%
드	35941	2.4%
Other values (707)	949725	62.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1297258	85.0%
Space Separator	204733	13.4%
Uppercase Letter	11607	0.8%
Other Punctuation	11583	0.8%
Dash Punctuation	939	0.1%
Lowercase Letter	855	0.1%

Most frequent character per category

Value	Count	Frequency (%)
스	51807	4.0%
이	43874	3.4%
파	43814	3.4%
르	40412	3.1%
리	40221	3.1%
로	39729	3.1%
에	39672	3.1%
엘	37047	2.9%
드	35941	2.8%
라	31732	2.4%
Other values (674)	893009	68.8%

Value	Count	Frequency (%)
A	4872	42.0%
J	1353	11.7%
M	1128	9.7%
Z	952	8.2%
P	805	6.9%
R	465	4.0%
S	310	2.7%
T	288	2.5%
H	232	2.0%
C	190	1.6%
Other values (19)	1012	8.7%

Value	Count	Frequency (%)
	204733	100.0%

Value	Count	Frequency (%)
.	11583	100.0%

Value	Count	Frequency (%)
-	939	100.0%

Value	Count	Frequency (%)
r	855	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1297258	85.0%
Common	217255	14.2%
Latin	12462	0.8%

Most frequent character per script

Value	Count	Frequency (%)
스	51807	4.0%
이	43874	3.4%
파	43814	3.4%
르	40412	3.1%
리	40221	3.1%
로	39729	3.1%
에	39672	3.1%
엘	37047	2.9%
드	35941	2.8%
라	31732	2.4%
Other values (674)	893009	68.8%

Value	Count	Frequency (%)
A	4872	39.1%
J	1353	10.9%
M	1128	9.1%
Z	952	7.6%
r	855	6.9%
P	805	6.5%
R	465	3.7%
S	310	2.5%
T	288	2.3%
H	232	1.9%
Other values (20)	1202	9.6%

Value	Count	Frequency (%)
	204733	94.2%
.	11583	5.3%
-	939	0.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1297258	85.0%
ASCII	229702	15.0%
None	15	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
스	51807	4.0%
이	43874	3.4%
파	43814	3.4%
르	40412	3.1%
리	40221	3.1%
로	39729	3.1%
에	39672	3.1%
엘	37047	2.9%
드	35941	2.8%
라	31732	2.4%
Other values (674)	893009	68.8%

Value	Count	Frequency (%)
	204733	89.1%
.	11583	5.0%
A	4872	2.1%
J	1353	0.6%
M	1128	0.5%
Z	952	0.4%
-	939	0.4%
r	855	0.4%
P	805	0.4%
R	465	0.2%
Other values (19)	2017	0.9%

Value	Count	Frequency (%)
Ș	6	40.0%
Ö	5	33.3%
İ	2	13.3%
Ł	2	13.3%

선수2
Categorical

HIGH CARDINALITY
MISSING

Distinct	4680
Distinct (%)	2.0%
Missing	2493
Missing (%)	1.1%
Memory size	1.8 MiB

미하엘 발락	21567
에마뉘엘 프티	10975
파트리크 비에이라	10888
파벨 네드베드	9309
크리스티아누 호날두	6960
Other values (4675)	169938

Length

Max length	13
Median length	7
Mean length	6.63758889
Min length	1

Characters and Unicode

Total characters	1524236
Distinct characters	712
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1542 ?
Unique (%)	0.7%

Sample

1st row	홍명보
2nd row	파벨 네드베드
3rd row	파벨 네드베드
4th row	에마뉘엘 프티
5th row	홍명보

Value	Count	Frequency (%)
미하엘 발락	21567	9.3%
에마뉘엘 프티	10975	4.7%
파트리크 비에이라	10888	4.7%
파벨 네드베드	9309	4.0%
크리스티아누 호날두	6960	3.0%
스티븐 제라드	6378	2.7%
호나우두	5828	2.5%
파올로 말디니	5178	2.2%
프랭크 램파드	4937	2.1%
에르난 크레스포	3830	1.6%
Other values (4670)	143787	61.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
미하엘	21622	5.0%
발락	21567	5.0%
에마뉘엘	10975	2.6%
프티	10975	2.6%
파트리크	10898	2.5%
비에이라	10891	2.5%
파벨	9313	2.2%
네드베드	9309	2.2%
크리스티아누	6960	1.6%
호날두	6960	1.6%
Other values (5290)	309353	72.1%

Most occurring characters

Value	Count	Frequency (%)
	199186	13.1%
스	57627	3.8%
리	49479	3.2%
드	47179	3.1%
에	40384	2.6%
르	39359	2.6%
라	38391	2.5%
이	37551	2.5%
엘	36952	2.4%
파	35212	2.3%
Other values (702)	942916	61.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1303548	85.5%
Space Separator	199186	13.1%
Uppercase Letter	9837	0.6%
Other Punctuation	9813	0.6%
Lowercase Letter	1047	0.1%
Dash Punctuation	805	0.1%

Most frequent character per category

Value	Count	Frequency (%)
스	57627	4.4%
리	49479	3.8%
드	47179	3.6%
에	40384	3.1%
르	39359	3.0%
라	38391	2.9%
이	37551	2.9%
엘	36952	2.8%
파	35212	2.7%
티	34029	2.6%
Other values (670)	887385	68.1%

Value	Count	Frequency (%)
M	1665	16.9%
A	1480	15.0%
J	1461	14.9%
Z	1194	12.1%
P	1135	11.5%
R	564	5.7%
T	342	3.5%
S	333	3.4%
F	249	2.5%
H	220	2.2%
Other values (18)	1194	12.1%

Value	Count	Frequency (%)
	199186	100.0%

Value	Count	Frequency (%)
.	9813	100.0%

Value	Count	Frequency (%)
r	1047	100.0%

Value	Count	Frequency (%)
-	805	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1303548	85.5%
Common	209804	13.8%
Latin	10884	0.7%

Most frequent character per script

Value	Count	Frequency (%)
스	57627	4.4%
리	49479	3.8%
드	47179	3.6%
에	40384	3.1%
르	39359	3.0%
라	38391	2.9%
이	37551	2.9%
엘	36952	2.8%
파	35212	2.7%
티	34029	2.6%
Other values (670)	887385	68.1%

Value	Count	Frequency (%)
M	1665	15.3%
A	1480	13.6%
J	1461	13.4%
Z	1194	11.0%
P	1135	10.4%
r	1047	9.6%
R	564	5.2%
T	342	3.1%
S	333	3.1%
F	249	2.3%
Other values (19)	1414	13.0%

Value	Count	Frequency (%)
	199186	94.9%
.	9813	4.7%
-	805	0.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1303548	85.5%
ASCII	220673	14.5%
None	15	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
스	57627	4.4%
리	49479	3.8%
드	47179	3.6%
에	40384	3.1%
르	39359	3.0%
라	38391	2.9%
이	37551	2.9%
엘	36952	2.8%
파	35212	2.7%
티	34029	2.6%
Other values (670)	887385	68.1%

Value	Count	Frequency (%)
	199186	90.3%
.	9813	4.4%
M	1665	0.8%
A	1480	0.7%
J	1461	0.7%
Z	1194	0.5%
P	1135	0.5%
r	1047	0.5%
-	805	0.4%
R	564	0.3%
Other values (19)	2323	1.1%

Value	Count	Frequency (%)
Ș	12	80.0%
Ł	2	13.3%
İ	1	6.7%

선수3
Categorical

HIGH CARDINALITY
MISSING

Distinct	4897
Distinct (%)	2.1%
Missing	2498
Missing (%)	1.1%
Memory size	1.8 MiB

미하엘 발락	12911
파벨 네드베드	10821
호나우두	8940
크리스티아누 호날두	8830
스티븐 제라드	8630
Other values (4892)	179500

Length

Max length	13
Median length	7
Mean length	6.529181473
Min length	1

Characters and Unicode

Total characters	1499309
Distinct characters	713
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1620 ?
Unique (%)	0.7%

Sample

1st row	조원희
2nd row	크리스티아누 호날두
3rd row	스티븐 제라드
4th row	미하엘 발락
5th row	조원희

Value	Count	Frequency (%)
미하엘 발락	12911	5.6%
파벨 네드베드	10821	4.7%
호나우두	8940	3.9%
크리스티아누 호날두	8830	3.8%
스티븐 제라드	8630	3.7%
에마뉘엘 프티	5867	2.5%
에르난 크레스포	5858	2.5%
프랭크 램파드	5210	2.2%
파트리크 비에이라	4867	2.1%
야프 스탐	3923	1.7%
Other values (4887)	153775	66.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
미하엘	12969	3.1%
발락	12911	3.1%
파벨	10824	2.6%
네드베드	10821	2.6%
호나우두	8949	2.1%
크리스티아누	8830	2.1%
호날두	8830	2.1%
스티븐	8664	2.1%
제라드	8631	2.0%
크레스포	5878	1.4%
Other values (5507)	324793	76.9%

Most occurring characters

Value	Count	Frequency (%)
	192468	12.8%
스	66085	4.4%
드	53415	3.6%
리	47165	3.1%
르	41395	2.8%
라	34196	2.3%
티	33636	2.2%
에	32406	2.2%
크	32071	2.1%
이	31378	2.1%
Other values (703)	935094	62.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1283955	85.6%
Space Separator	192468	12.8%
Uppercase Letter	10392	0.7%
Other Punctuation	10366	0.7%
Lowercase Letter	1121	0.1%
Dash Punctuation	1007	0.1%

Most frequent character per category

Value	Count	Frequency (%)
스	66085	5.1%
드	53415	4.2%
리	47165	3.7%
르	41395	3.2%
라	34196	2.7%
티	33636	2.6%
에	32406	2.5%
크	32071	2.5%
이	31378	2.4%
파	27665	2.2%
Other values (672)	884543	68.9%

Value	Count	Frequency (%)
M	1799	17.3%
Z	1693	16.3%
J	1644	15.8%
A	1039	10.0%
P	978	9.4%
R	559	5.4%
T	451	4.3%
S	365	3.5%
C	264	2.5%
F	241	2.3%
Other values (17)	1359	13.1%

Value	Count	Frequency (%)
	192468	100.0%

Value	Count	Frequency (%)
.	10366	100.0%

Value	Count	Frequency (%)
r	1121	100.0%

Value	Count	Frequency (%)
-	1007	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1283955	85.6%
Common	203841	13.6%
Latin	11513	0.8%

Most frequent character per script

Value	Count	Frequency (%)
스	66085	5.1%
드	53415	4.2%
리	47165	3.7%
르	41395	3.2%
라	34196	2.7%
티	33636	2.6%
에	32406	2.5%
크	32071	2.5%
이	31378	2.4%
파	27665	2.2%
Other values (672)	884543	68.9%

Value	Count	Frequency (%)
M	1799	15.6%
Z	1693	14.7%
J	1644	14.3%
r	1121	9.7%
A	1039	9.0%
P	978	8.5%
R	559	4.9%
T	451	3.9%
S	365	3.2%
C	264	2.3%
Other values (18)	1600	13.9%

Value	Count	Frequency (%)
	192468	94.4%
.	10366	5.1%
-	1007	0.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1283955	85.6%
ASCII	215331	14.4%
None	23	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
스	66085	5.1%
드	53415	4.2%
리	47165	3.7%
르	41395	3.2%
라	34196	2.7%
티	33636	2.6%
에	32406	2.5%
크	32071	2.5%
이	31378	2.4%
파	27665	2.2%
Other values (672)	884543	68.9%

Value	Count	Frequency (%)
	192468	89.4%
.	10366	4.8%
M	1799	0.8%
Z	1693	0.8%
J	1644	0.8%
r	1121	0.5%
A	1039	0.5%
-	1007	0.5%
P	978	0.5%
R	559	0.3%
Other values (18)	2657	1.2%

Value	Count	Frequency (%)
Ș	18	78.3%
Ł	3	13.0%
Ö	2	8.7%

선수4
Categorical

HIGH CARDINALITY
MISSING

Distinct	4998
Distinct (%)	2.2%
Missing	2557
Missing (%)	1.1%
Memory size	1.8 MiB

호나우두	10227
크리스티아누 호날두	9179
스티븐 제라드	7793
파벨 네드베드	7135
에르난 크레스포	6480
Other values (4993)	188759

Length

Max length	13
Median length	7
Mean length	6.474607206
Min length	2

Characters and Unicode

Total characters	1486395
Distinct characters	720
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1583 ?
Unique (%)	0.7%

Sample

1st row	유상철
2nd row	티아구 실바
3rd row	크리스티아누 호날두
4th row	야프 스탐
5th row	유상철

Value	Count	Frequency (%)
호나우두	10227	4.4%
크리스티아누 호날두	9179	4.0%
스티븐 제라드	7793	3.4%
파벨 네드베드	7135	3.1%
에르난 크레스포	6480	2.8%
미하엘 발락	5081	2.2%
이반 페리시치	4220	1.8%
프랭크 램파드	3458	1.5%
제롬 보아텡	3275	1.4%
가레스 베일	3018	1.3%
Other values (4988)	169707	73.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
호나우두	10234	2.5%
호날두	9179	2.2%
크리스티아누	9179	2.2%
스티븐	7831	1.9%
제라드	7793	1.9%
파벨	7139	1.7%
네드베드	7135	1.7%
크레스포	6496	1.6%
에르난	6482	1.6%
미하엘	5160	1.2%
Other values (5581)	340930	81.6%

Most occurring characters

Value	Count	Frequency (%)
	187985	12.6%
스	67690	4.6%
리	48245	3.2%
드	45575	3.1%
르	44801	3.0%
라	33256	2.2%
이	32249	2.2%
티	30917	2.1%
크	29966	2.0%
아	29615	2.0%
Other values (710)	936096	63.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1271851	85.6%
Space Separator	187985	12.6%
Uppercase Letter	11981	0.8%
Other Punctuation	11957	0.8%
Lowercase Letter	1504	0.1%
Dash Punctuation	1117	0.1%

Most frequent character per category

Value	Count	Frequency (%)
스	67690	5.3%
리	48245	3.8%
드	45575	3.6%
르	44801	3.5%
라	33256	2.6%
이	32249	2.5%
티	30917	2.4%
크	29966	2.4%
아	29615	2.3%
에	28546	2.2%
Other values (676)	880991	69.3%

Value	Count	Frequency (%)
Z	2307	19.3%
J	2044	17.1%
M	1362	11.4%
A	1168	9.7%
R	983	8.2%
P	927	7.7%
T	686	5.7%
S	439	3.7%
C	321	2.7%
F	273	2.3%
Other values (20)	1471	12.3%

Value	Count	Frequency (%)
	187985	100.0%

Value	Count	Frequency (%)
r	1504	100.0%

Value	Count	Frequency (%)
.	11957	100.0%

Value	Count	Frequency (%)
-	1117	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1271851	85.6%
Common	201059	13.5%
Latin	13485	0.9%

Most frequent character per script

Value	Count	Frequency (%)
스	67690	5.3%
리	48245	3.8%
드	45575	3.6%
르	44801	3.5%
라	33256	2.6%
이	32249	2.5%
티	30917	2.4%
크	29966	2.4%
아	29615	2.3%
에	28546	2.2%
Other values (676)	880991	69.3%

Value	Count	Frequency (%)
Z	2307	17.1%
J	2044	15.2%
r	1504	11.2%
M	1362	10.1%
A	1168	8.7%
R	983	7.3%
P	927	6.9%
T	686	5.1%
S	439	3.3%
C	321	2.4%
Other values (21)	1744	12.9%

Value	Count	Frequency (%)
	187985	93.5%
.	11957	5.9%
-	1117	0.6%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1271851	85.6%
ASCII	214517	14.4%
None	27	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
스	67690	5.3%
리	48245	3.8%
드	45575	3.6%
르	44801	3.5%
라	33256	2.6%
이	32249	2.5%
티	30917	2.4%
크	29966	2.4%
아	29615	2.3%
에	28546	2.2%
Other values (676)	880991	69.3%

Value	Count	Frequency (%)
	187985	87.6%
.	11957	5.6%
Z	2307	1.1%
J	2044	1.0%
r	1504	0.7%
M	1362	0.6%
A	1168	0.5%
-	1117	0.5%
R	983	0.5%
P	927	0.4%
Other values (18)	3163	1.5%

Value	Count	Frequency (%)
Ș	17	63.0%
Ö	5	18.5%
Ł	2	7.4%
É	1	3.7%
Ó	1	3.7%
İ	1	3.7%

선수5
Categorical

HIGH CARDINALITY
MISSING

Distinct	5137
Distinct (%)	2.2%
Missing	2595
Missing (%)	1.1%
Memory size	1.8 MiB

호나우두	9674
크리스티아누 호날두	7267
이반 페리시치	5537
스티븐 제라드	5115
제롬 보아텡	4746
Other values (5132)	197196

Length

Max length	15
Median length	7
Mean length	6.432038687
Min length	1

Characters and Unicode

Total characters	1476378
Distinct characters	724
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1552 ?
Unique (%)	0.7%

Sample

1st row	M. 페르난데스
2nd row	카일 워커
3rd row	호나우두
4th row	호나우두
5th row	페테르 굴라치

Value	Count	Frequency (%)
호나우두	9674	4.2%
크리스티아누 호날두	7267	3.1%
이반 페리시치	5537	2.4%
스티븐 제라드	5115	2.2%
제롬 보아텡	4746	2.0%
에르난 크레스포	4364	1.9%
파벨 네드베드	3765	1.6%
사미 케디라	3727	1.6%
가레스 베일	3553	1.5%
미하엘 발락	2963	1.3%
Other values (5127)	178824	77.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
호나우두	9681	2.3%
호날두	7267	1.7%
크리스티아누	7267	1.7%
이반	6219	1.5%
페리시치	5537	1.3%
스티븐	5195	1.2%
제라드	5116	1.2%
보아텡	5080	1.2%
제롬	4769	1.1%
크레스포	4377	1.1%
Other values (5708)	356108	85.5%

Most occurring characters

Value	Count	Frequency (%)
	187081	12.7%
스	63432	4.3%
르	47989	3.3%
리	45753	3.1%
이	35778	2.4%
드	35377	2.4%
아	32456	2.2%
라	32279	2.2%
티	25092	1.7%
에	25049	1.7%
Other values (714)	946092	64.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1258502	85.2%
Space Separator	187081	12.7%
Uppercase Letter	13798	0.9%
Other Punctuation	13760	0.9%
Lowercase Letter	2025	0.1%
Dash Punctuation	1212	0.1%

Most frequent character per category

Value	Count	Frequency (%)
스	63432	5.0%
르	47989	3.8%
리	45753	3.6%
이	35778	2.8%
드	35377	2.8%
아	32456	2.6%
라	32279	2.6%
티	25092	2.0%
에	25049	2.0%
크	24134	1.9%
Other values (681)	891163	70.8%

Value	Count	Frequency (%)
J	2659	19.3%
Z	2534	18.4%
A	1465	10.6%
R	1340	9.7%
M	1205	8.7%
T	929	6.7%
P	850	6.2%
S	697	5.1%
C	358	2.6%
F	278	2.0%
Other values (19)	1483	10.7%

Value	Count	Frequency (%)
.	13760	100.0%

Value	Count	Frequency (%)
	187081	100.0%

Value	Count	Frequency (%)
r	2025	100.0%

Value	Count	Frequency (%)
-	1212	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1258502	85.2%
Common	202053	13.7%
Latin	15823	1.1%

Most frequent character per script

Value	Count	Frequency (%)
스	63432	5.0%
르	47989	3.8%
리	45753	3.6%
이	35778	2.8%
드	35377	2.8%
아	32456	2.6%
라	32279	2.6%
티	25092	2.0%
에	25049	2.0%
크	24134	1.9%
Other values (681)	891163	70.8%

Value	Count	Frequency (%)
J	2659	16.8%
Z	2534	16.0%
r	2025	12.8%
A	1465	9.3%
R	1340	8.5%
M	1205	7.6%
T	929	5.9%
P	850	5.4%
S	697	4.4%
C	358	2.3%
Other values (20)	1761	11.1%

Value	Count	Frequency (%)
	187081	92.6%
.	13760	6.8%
-	1212	0.6%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1258502	85.2%
ASCII	217864	14.8%
None	12	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	187081	85.9%
.	13760	6.3%
J	2659	1.2%
Z	2534	1.2%
r	2025	0.9%
A	1465	0.7%
R	1340	0.6%
-	1212	0.6%
M	1205	0.6%
T	929	0.4%
Other values (18)	3654	1.7%

Value	Count	Frequency (%)
스	63432	5.0%
르	47989	3.8%
리	45753	3.6%
이	35778	2.8%
드	35377	2.8%
아	32456	2.6%
라	32279	2.6%
티	25092	2.0%
에	25049	2.0%
크	24134	1.9%
Other values (681)	891163	70.8%

Value	Count	Frequency (%)
Ș	6	50.0%
Ö	3	25.0%
Ó	1	8.3%
Ł	1	8.3%
İ	1	8.3%

선수6
Categorical

HIGH CARDINALITY
MISSING

Distinct	5265
Distinct (%)	2.3%
Missing	2523
Missing (%)	1.1%
Memory size	1.8 MiB

호나우두	7195
제롬 보아텡	6174
이반 페리시치	5984
사미 케디라	4821
크리스티아누 호날두	4356
Other values (5260)	201077

Length

Max length	13
Median length	7
Mean length	6.400758688
Min length	1

Characters and Unicode

Total characters	1469659
Distinct characters	723
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1543 ?
Unique (%)	0.7%

Sample

1st row	페테르 굴라치
2nd row	카밀 글리크
3rd row	Z. 이브라히모비치
4th row	Z. 이브라히모비치
5th row	정산

Value	Count	Frequency (%)
호나우두	7195	3.1%
제롬 보아텡	6174	2.7%
이반 페리시치	5984	2.6%
사미 케디라	4821	2.1%
크리스티아누 호날두	4356	1.9%
티보 쿠르투아	4157	1.8%
가레스 베일	3680	1.6%
아르투로 비달	3176	1.4%
스티븐 제라드	3043	1.3%
네이마르 Jr.	2967	1.3%
Other values (5255)	184054	79.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
호나우두	7203	1.7%
이반	6692	1.6%
보아텡	6636	1.6%
제롬	6207	1.5%
페리시치	5984	1.4%
사미	4824	1.2%
케디라	4824	1.2%
호날두	4356	1.0%
크리스티아누	4356	1.0%
티보	4158	1.0%
Other values (5828)	362610	86.8%

Most occurring characters

Value	Count	Frequency (%)
	188243	12.8%
스	59682	4.1%
르	48910	3.3%
리	43855	3.0%
이	37035	2.5%
아	34661	2.4%
라	32256	2.2%
드	29325	2.0%
에	22409	1.5%
마	21893	1.5%
Other values (713)	951390	64.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1245287	84.7%
Space Separator	188243	12.8%
Uppercase Letter	15775	1.1%
Other Punctuation	15741	1.1%
Lowercase Letter	2967	0.2%
Dash Punctuation	1646	0.1%

Most frequent character per category

Value	Count	Frequency (%)
스	59682	4.8%
르	48910	3.9%
리	43855	3.5%
이	37035	3.0%
아	34661	2.8%
라	32256	2.6%
드	29325	2.4%
에	22409	1.8%
마	21893	1.8%
로	21263	1.7%
Other values (680)	893998	71.8%

Value	Count	Frequency (%)
J	3763	23.9%
Z	2117	13.4%
A	1789	11.3%
R	1690	10.7%
M	1233	7.8%
T	1006	6.4%
P	911	5.8%
S	662	4.2%
F	412	2.6%
C	410	2.6%
Other values (19)	1782	11.3%

Value	Count	Frequency (%)
	188243	100.0%

Value	Count	Frequency (%)
.	15741	100.0%

Value	Count	Frequency (%)
r	2967	100.0%

Value	Count	Frequency (%)
-	1646	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1245287	84.7%
Common	205630	14.0%
Latin	18742	1.3%

Most frequent character per script

Value	Count	Frequency (%)
스	59682	4.8%
르	48910	3.9%
리	43855	3.5%
이	37035	3.0%
아	34661	2.8%
라	32256	2.6%
드	29325	2.4%
에	22409	1.8%
마	21893	1.8%
로	21263	1.7%
Other values (680)	893998	71.8%

Value	Count	Frequency (%)
J	3763	20.1%
r	2967	15.8%
Z	2117	11.3%
A	1789	9.5%
R	1690	9.0%
M	1233	6.6%
T	1006	5.4%
P	911	4.9%
S	662	3.5%
F	412	2.2%
Other values (20)	2192	11.7%

Value	Count	Frequency (%)
	188243	91.5%
.	15741	7.7%
-	1646	0.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1245287	84.7%
ASCII	224336	15.3%
None	36	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
스	59682	4.8%
르	48910	3.9%
리	43855	3.5%
이	37035	3.0%
아	34661	2.8%
라	32256	2.6%
드	29325	2.4%
에	22409	1.8%
마	21893	1.8%
로	21263	1.7%
Other values (680)	893998	71.8%

Value	Count	Frequency (%)
	188243	83.9%
.	15741	7.0%
J	3763	1.7%
r	2967	1.3%
Z	2117	0.9%
A	1789	0.8%
R	1690	0.8%
-	1646	0.7%
M	1233	0.5%
T	1006	0.4%
Other values (19)	4141	1.8%

Value	Count	Frequency (%)
Ș	29	80.6%
Ö	3	8.3%
İ	2	5.6%
Ł	2	5.6%

선수7
Categorical

HIGH CARDINALITY
MISSING

Distinct	5413
Distinct (%)	2.4%
Missing	2520
Missing (%)	1.1%
Memory size	1.8 MiB

이반 페리시치	6231
티보 쿠르투아	6121
제롬 보아텡	5916
사미 케디라	5227
호나우두	5151
Other values (5408)	200964

Length

Max length	13
Median length	7
Mean length	6.399795305
Min length	1

Characters and Unicode

Total characters	1469457
Distinct characters	732
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1633 ?
Unique (%)	0.7%

Sample

1st row	정산
2nd row	티보 쿠르투아
3rd row	페페
4th row	가레스 베일
5th row	김신욱

Value	Count	Frequency (%)
이반 페리시치	6231	2.7%
티보 쿠르투아	6121	2.6%
제롬 보아텡	5916	2.5%
사미 케디라	5227	2.3%
호나우두	5151	2.2%
네이마르 Jr.	4149	1.8%
카일 워커	3699	1.6%
아르투로 비달	3686	1.6%
가레스 베일	3156	1.4%
크리스티아누 호날두	3145	1.4%
Other values (5403)	183129	78.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
이반	6844	1.6%
페리시치	6231	1.5%
보아텡	6199	1.5%
쿠르투아	6121	1.5%
티보	6121	1.5%
제롬	5944	1.4%
케디라	5230	1.2%
사미	5228	1.2%
호나우두	5160	1.2%
네이마르	4149	1.0%
Other values (5952)	362508	86.4%

Most occurring characters

Value	Count	Frequency (%)
	190125	12.9%
스	56476	3.8%
르	50491	3.4%
리	41797	2.8%
이	37975	2.6%
아	36723	2.5%
라	32422	2.2%
드	26367	1.8%
마	22595	1.5%
로	21810	1.5%
Other values (722)	952676	64.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1240873	84.4%
Space Separator	190125	12.9%
Uppercase Letter	16440	1.1%
Other Punctuation	16396	1.1%
Lowercase Letter	4149	0.3%
Dash Punctuation	1474	0.1%

Most frequent character per category

Value	Count	Frequency (%)
스	56476	4.6%
르	50491	4.1%
리	41797	3.4%
이	37975	3.1%
아	36723	3.0%
라	32422	2.6%
드	26367	2.1%
마	22595	1.8%
로	21810	1.8%
에	20904	1.7%
Other values (689)	893313	72.0%

Value	Count	Frequency (%)
J	5069	30.8%
R	1759	10.7%
A	1733	10.5%
Z	1430	8.7%
M	1266	7.7%
P	1097	6.7%
T	1003	6.1%
S	432	2.6%
C	418	2.5%
F	319	1.9%
Other values (19)	1914	11.6%

Value	Count	Frequency (%)
	190125	100.0%

Value	Count	Frequency (%)
r	4149	100.0%

Value	Count	Frequency (%)
.	16396	100.0%

Value	Count	Frequency (%)
-	1474	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1240873	84.4%
Common	207995	14.2%
Latin	20589	1.4%

Most frequent character per script

Value	Count	Frequency (%)
스	56476	4.6%
르	50491	4.1%
리	41797	3.4%
이	37975	3.1%
아	36723	3.0%
라	32422	2.6%
드	26367	2.1%
마	22595	1.8%
로	21810	1.8%
에	20904	1.7%
Other values (689)	893313	72.0%

Value	Count	Frequency (%)
J	5069	24.6%
r	4149	20.2%
R	1759	8.5%
A	1733	8.4%
Z	1430	6.9%
M	1266	6.1%
P	1097	5.3%
T	1003	4.9%
S	432	2.1%
C	418	2.0%
Other values (20)	2233	10.8%

Value	Count	Frequency (%)
	190125	91.4%
.	16396	7.9%
-	1474	0.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1240873	84.4%
ASCII	228557	15.6%
None	27	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
스	56476	4.6%
르	50491	4.1%
리	41797	3.4%
이	37975	3.1%
아	36723	3.0%
라	32422	2.6%
드	26367	2.1%
마	22595	1.8%
로	21810	1.8%
에	20904	1.7%
Other values (689)	893313	72.0%

Value	Count	Frequency (%)
	190125	83.2%
.	16396	7.2%
J	5069	2.2%
r	4149	1.8%
R	1759	0.8%
A	1733	0.8%
-	1474	0.6%
Z	1430	0.6%
M	1266	0.6%
P	1097	0.5%
Other values (18)	4059	1.8%

Value	Count	Frequency (%)
Ș	19	70.4%
Ł	4	14.8%
Ö	2	7.4%
İ	1	3.7%
Á	1	3.7%

선수8
Categorical

HIGH CARDINALITY
MISSING

Distinct	5413
Distinct (%)	2.4%
Missing	2504
Missing (%)	1.1%
Memory size	1.8 MiB

티보 쿠르투아	8078
제롬 보아텡	5805
이반 페리시치	5427
네이마르 Jr.	4879
사미 케디라	4590
Other values (5408)	200847

Length

Max length	13
Median length	7
Mean length	6.390905211
Min length	1

Characters and Unicode

Total characters	1467518
Distinct characters	728
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1553 ?
Unique (%)	0.7%

Sample

1st row	김신욱
2nd row	마티아스 치머만
3rd row	카림 벤제마
4th row	이반 페리시치
5th row	홍철

Value	Count	Frequency (%)
티보 쿠르투아	8078	3.5%
제롬 보아텡	5805	2.5%
이반 페리시치	5427	2.3%
네이마르 Jr.	4879	2.1%
사미 케디라	4590	2.0%
케빈 더브라위너	4220	1.8%
라파엘 바란	4031	1.7%
카일 워커	3744	1.6%
호나우두	3407	1.5%
아르투로 비달	3318	1.4%
Other values (5403)	182127	78.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
티보	8080	1.9%
쿠르투아	8078	1.9%
보아텡	6144	1.5%
이반	6016	1.4%
제롬	5827	1.4%
페리시치	5427	1.3%
jr	4879	1.2%
네이마르	4879	1.2%
케빈	4774	1.1%
케디라	4595	1.1%
Other values (5995)	361350	86.0%

Most occurring characters

Value	Count	Frequency (%)
	190423	13.0%
스	53972	3.7%
르	51345	3.5%
리	39983	2.7%
이	38145	2.6%
아	37003	2.5%
라	34267	2.3%
드	25610	1.7%
마	22854	1.6%
로	21529	1.5%
Other values (718)	952387	64.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1234922	84.2%
Space Separator	190423	13.0%
Uppercase Letter	17884	1.2%
Other Punctuation	17850	1.2%
Lowercase Letter	4879	0.3%
Dash Punctuation	1560	0.1%

Most frequent character per category

Value	Count	Frequency (%)
스	53972	4.4%
르	51345	4.2%
리	39983	3.2%
이	38145	3.1%
아	37003	3.0%
라	34267	2.8%
드	25610	2.1%
마	22854	1.9%
로	21529	1.7%
에	21003	1.7%
Other values (685)	889211	72.0%

Value	Count	Frequency (%)
J	6267	35.0%
A	2147	12.0%
R	1815	10.1%
M	1442	8.1%
P	1205	6.7%
T	995	5.6%
Z	988	5.5%
S	406	2.3%
C	384	2.1%
F	308	1.7%
Other values (19)	1927	10.8%

Value	Count	Frequency (%)
	190423	100.0%

Value	Count	Frequency (%)
.	17850	100.0%

Value	Count	Frequency (%)
r	4879	100.0%

Value	Count	Frequency (%)
-	1560	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1234922	84.2%
Common	209833	14.3%
Latin	22763	1.6%

Most frequent character per script

Value	Count	Frequency (%)
스	53972	4.4%
르	51345	4.2%
리	39983	3.2%
이	38145	3.1%
아	37003	3.0%
라	34267	2.8%
드	25610	2.1%
마	22854	1.9%
로	21529	1.7%
에	21003	1.7%
Other values (685)	889211	72.0%

Value	Count	Frequency (%)
J	6267	27.5%
r	4879	21.4%
A	2147	9.4%
R	1815	8.0%
M	1442	6.3%
P	1205	5.3%
T	995	4.4%
Z	988	4.3%
S	406	1.8%
C	384	1.7%
Other values (20)	2235	9.8%

Value	Count	Frequency (%)
	190423	90.7%
.	17850	8.5%
-	1560	0.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1234922	84.2%
ASCII	232582	15.8%
None	14	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
스	53972	4.4%
르	51345	4.2%
리	39983	3.2%
이	38145	3.1%
아	37003	3.0%
라	34267	2.8%
드	25610	2.1%
마	22854	1.9%
로	21529	1.7%
에	21003	1.7%
Other values (685)	889211	72.0%

Value	Count	Frequency (%)
	190423	81.9%
.	17850	7.7%
J	6267	2.7%
r	4879	2.1%
A	2147	0.9%
R	1815	0.8%
-	1560	0.7%
M	1442	0.6%
P	1205	0.5%
T	995	0.4%
Other values (18)	3999	1.7%

Value	Count	Frequency (%)
İ	5	35.7%
Ș	3	21.4%
Ö	3	21.4%
Ł	2	14.3%
Í	1	7.1%

선수9
Categorical

HIGH CARDINALITY
MISSING

Distinct	5626
Distinct (%)	2.4%
Missing	2484
Missing (%)	1.1%
Memory size	1.8 MiB

티보 쿠르투아	9627
라파엘 바란	5747
케빈 더브라위너	5149
네이마르 Jr.	4899
제롬 보아텡	4788
Other values (5621)	199436

Length

Max length	15
Median length	7
Mean length	6.377846773
Min length	1

Characters and Unicode

Total characters	1464647
Distinct characters	744
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1724 ?
Unique (%)	0.8%

Sample

1st row	홍철
2nd row	손흥민
3rd row	아르투로 비달
4th row	패트릭 반안홀트
5th row	손흥민

Value	Count	Frequency (%)
티보 쿠르투아	9627	4.1%
라파엘 바란	5747	2.5%
케빈 더브라위너	5149	2.2%
네이마르 Jr.	4899	2.1%
제롬 보아텡	4788	2.1%
이반 페리시치	3903	1.7%
카일 워커	3869	1.7%
버질 반데이크	3606	1.6%
루드 굴리트	3468	1.5%
손흥민	3328	1.4%
Other values (5616)	181262	78.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
티보	9630	2.3%
쿠르투아	9627	2.3%
케빈	5820	1.4%
라파엘	5802	1.4%
바란	5747	1.4%
더브라위너	5149	1.2%
보아텡	5136	1.2%
jr	4899	1.2%
네이마르	4899	1.2%
제롬	4833	1.2%
Other values (6165)	358071	85.3%

Most occurring characters

Value	Count	Frequency (%)
	189967	13.0%
르	52956	3.6%
스	51883	3.5%
리	38714	2.6%
이	36634	2.5%
아	35936	2.5%
라	35674	2.4%
드	24305	1.7%
마	23284	1.6%
로	21175	1.4%
Other values (734)	954119	65.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1233963	84.2%
Space Separator	189967	13.0%
Uppercase Letter	17135	1.2%
Other Punctuation	17111	1.2%
Lowercase Letter	4899	0.3%
Dash Punctuation	1572	0.1%

Most frequent character per category

Value	Count	Frequency (%)
르	52956	4.3%
스	51883	4.2%
리	38714	3.1%
이	36634	3.0%
아	35936	2.9%
라	35674	2.9%
드	24305	2.0%
마	23284	1.9%
로	21175	1.7%
에	20909	1.7%
Other values (699)	892493	72.3%

Value	Count	Frequency (%)
J	6402	37.4%
A	2010	11.7%
P	1329	7.8%
R	1274	7.4%
M	1239	7.2%
T	841	4.9%
Z	799	4.7%
C	590	3.4%
S	401	2.3%
F	344	2.0%
Other values (21)	1906	11.1%

Value	Count	Frequency (%)
	189967	100.0%

Value	Count	Frequency (%)
r	4899	100.0%

Value	Count	Frequency (%)
.	17111	100.0%

Value	Count	Frequency (%)
-	1572	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1233963	84.2%
Common	208650	14.2%
Latin	22034	1.5%

Most frequent character per script

Value	Count	Frequency (%)
르	52956	4.3%
스	51883	4.2%
리	38714	3.1%
이	36634	3.0%
아	35936	2.9%
라	35674	2.9%
드	24305	2.0%
마	23284	1.9%
로	21175	1.7%
에	20909	1.7%
Other values (699)	892493	72.3%

Value	Count	Frequency (%)
J	6402	29.1%
r	4899	22.2%
A	2010	9.1%
P	1329	6.0%
R	1274	5.8%
M	1239	5.6%
T	841	3.8%
Z	799	3.6%
C	590	2.7%
S	401	1.8%
Other values (22)	2250	10.2%

Value	Count	Frequency (%)
	189967	91.0%
.	17111	8.2%
-	1572	0.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1233963	84.2%
ASCII	230664	15.7%
None	20	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
르	52956	4.3%
스	51883	4.2%
리	38714	3.1%
이	36634	3.0%
아	35936	2.9%
라	35674	2.9%
드	24305	2.0%
마	23284	1.9%
로	21175	1.7%
에	20909	1.7%
Other values (699)	892493	72.3%

Value	Count	Frequency (%)
	189967	82.4%
.	17111	7.4%
J	6402	2.8%
r	4899	2.1%
A	2010	0.9%
-	1572	0.7%
P	1329	0.6%
R	1274	0.6%
M	1239	0.5%
T	841	0.4%
Other values (18)	4020	1.7%

Value	Count	Frequency (%)
Ł	10	50.0%
Ș	2	10.0%
Ö	2	10.0%
İ	2	10.0%
Á	2	10.0%
É	1	5.0%
Ó	1	5.0%

선수10
Categorical

HIGH CARDINALITY
MISSING

Distinct	5680
Distinct (%)	2.5%
Missing	2477
Missing (%)	1.1%
Memory size	1.8 MiB

티보 쿠르투아	10042
라파엘 바란	7394
케빈 더브라위너	5735
버질 반데이크	4427
네이마르 Jr.	4410
Other values (5675)	197645

Length

Max length	13
Median length	7
Mean length	6.348299391
Min length	1

Characters and Unicode

Total characters	1457906
Distinct characters	742
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1683 ?
Unique (%)	0.7%

Sample

1st row	손흥민
2nd row	토마시 쿠베크
3rd row	제롬 보아텡
4th row	파울리뉴
5th row	신세계

Value	Count	Frequency (%)
티보 쿠르투아	10042	4.3%
라파엘 바란	7394	3.2%
케빈 더브라위너	5735	2.5%
버질 반데이크	4427	1.9%
네이마르 Jr.	4410	1.9%
루드 굴리트	4358	1.9%
손흥민	4329	1.9%
카일 워커	3220	1.4%
제롬 보아텡	3211	1.4%
폴 포그바	2897	1.2%
Other values (5670)	179630	77.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
쿠르투아	10042	2.4%
티보	10042	2.4%
라파엘	7462	1.8%
바란	7394	1.8%
케빈	6511	1.6%
더브라위너	5735	1.4%
버질	4427	1.1%
반데이크	4427	1.1%
네이마르	4410	1.1%
jr	4410	1.1%
Other values (6237)	353730	84.5%

Most occurring characters

Value	Count	Frequency (%)
	188937	13.0%
르	52193	3.6%
스	49414	3.4%
리	39213	2.7%
라	37028	2.5%
이	35584	2.4%
아	32430	2.2%
드	24866	1.7%
마	22550	1.5%
티	20795	1.4%
Other values (732)	954896	65.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1228964	84.3%
Space Separator	188937	13.0%
Uppercase Letter	16969	1.2%
Other Punctuation	16903	1.2%
Lowercase Letter	4410	0.3%
Dash Punctuation	1723	0.1%

Most frequent character per category

Value	Count	Frequency (%)
르	52193	4.2%
스	49414	4.0%
리	39213	3.2%
라	37028	3.0%
이	35584	2.9%
아	32430	2.6%
드	24866	2.0%
마	22550	1.8%
티	20795	1.7%
로	20370	1.7%
Other values (698)	894521	72.8%

Value	Count	Frequency (%)
J	6232	36.7%
A	2203	13.0%
P	1479	8.7%
M	1465	8.6%
R	976	5.8%
T	693	4.1%
Z	629	3.7%
C	509	3.0%
S	443	2.6%
F	386	2.3%
Other values (20)	1954	11.5%

Value	Count	Frequency (%)
	188937	100.0%

Value	Count	Frequency (%)
-	1723	100.0%

Value	Count	Frequency (%)
r	4410	100.0%

Value	Count	Frequency (%)
.	16903	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1228964	84.3%
Common	207563	14.2%
Latin	21379	1.5%

Most frequent character per script

Value	Count	Frequency (%)
르	52193	4.2%
스	49414	4.0%
리	39213	3.2%
라	37028	3.0%
이	35584	2.9%
아	32430	2.6%
드	24866	2.0%
마	22550	1.8%
티	20795	1.7%
로	20370	1.7%
Other values (698)	894521	72.8%

Value	Count	Frequency (%)
J	6232	29.2%
r	4410	20.6%
A	2203	10.3%
P	1479	6.9%
M	1465	6.9%
R	976	4.6%
T	693	3.2%
Z	629	2.9%
C	509	2.4%
S	443	2.1%
Other values (21)	2340	10.9%

Value	Count	Frequency (%)
	188937	91.0%
.	16903	8.1%
-	1723	0.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1228964	84.3%
ASCII	228919	15.7%
None	23	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
르	52193	4.2%
스	49414	4.0%
리	39213	3.2%
라	37028	3.0%
이	35584	2.9%
아	32430	2.6%
드	24866	2.0%
마	22550	1.8%
티	20795	1.7%
로	20370	1.7%
Other values (698)	894521	72.8%

Value	Count	Frequency (%)
	188937	82.5%
.	16903	7.4%
J	6232	2.7%
r	4410	1.9%
A	2203	1.0%
-	1723	0.8%
P	1479	0.6%
M	1465	0.6%
R	976	0.4%
T	693	0.3%
Other values (19)	3898	1.7%

Value	Count	Frequency (%)
Ö	11	47.8%
Ł	5	21.7%
İ	4	17.4%
Ș	2	8.7%
Ó	1	4.3%

선수11
Categorical

HIGH CARDINALITY
MISSING

Distinct	5702
Distinct (%)	2.5%
Missing	2564
Missing (%)	1.1%
Memory size	1.8 MiB

라파엘 바란	9722
티보 쿠르투아	8525
루드 굴리트	6511
케빈 더브라위너	5405
버질 반데이크	5201
Other values (5697)	194202

Length

Max length	13
Median length	7
Mean length	6.302627567
Min length	1

Characters and Unicode

Total characters	1446869
Distinct characters	739
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1618 ?
Unique (%)	0.7%

Sample

1st row	신세계
2nd row	마우로 이카르디
3rd row	차범근
4th row	루카시 흐라데키
5th row	고광민

Value	Count	Frequency (%)
라파엘 바란	9722	4.2%
티보 쿠르투아	8525	3.7%
루드 굴리트	6511	2.8%
케빈 더브라위너	5405	2.3%
버질 반데이크	5201	2.2%
손흥민	4875	2.1%
네이마르 Jr.	4014	1.7%
세르주 그나브리	3471	1.5%
폴 포그바	2886	1.2%
카일 워커	2728	1.2%
Other values (5692)	176228	75.9%
(Missing)	2564	1.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
라파엘	9800	2.3%
바란	9722	2.3%
티보	8525	2.0%
쿠르투아	8525	2.0%
루드	6516	1.6%
굴리트	6511	1.6%
케빈	6306	1.5%
더브라위너	5405	1.3%
반데이크	5202	1.2%
버질	5201	1.2%
Other values (6238)	345917	82.8%

Most occurring characters

Value	Count	Frequency (%)
	188064	13.0%
르	51439	3.6%
스	47628	3.3%
리	41012	2.8%
라	37601	2.6%
이	34168	2.4%
아	28759	2.0%
드	26605	1.8%
바	22326	1.5%
루	21286	1.5%
Other values (729)	947981	65.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1220121	84.3%
Space Separator	188064	13.0%
Uppercase Letter	16546	1.1%
Other Punctuation	16426	1.1%
Lowercase Letter	4014	0.3%
Dash Punctuation	1698	0.1%

Most frequent character per category

Value	Count	Frequency (%)
르	51439	4.2%
스	47628	3.9%
리	41012	3.4%
라	37601	3.1%
이	34168	2.8%
아	28759	2.4%
드	26605	2.2%
바	22326	1.8%
루	21286	1.7%
마	21268	1.7%
Other values (695)	888029	72.8%

Value	Count	Frequency (%)
J	5997	36.2%
A	1973	11.9%
P	1439	8.7%
M	1422	8.6%
R	870	5.3%
T	595	3.6%
C	569	3.4%
Z	553	3.3%
S	522	3.2%
F	469	2.8%
Other values (20)	2137	12.9%

Value	Count	Frequency (%)
	188064	100.0%

Value	Count	Frequency (%)
.	16426	100.0%

Value	Count	Frequency (%)
-	1698	100.0%

Value	Count	Frequency (%)
r	4014	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1220121	84.3%
Common	206188	14.3%
Latin	20560	1.4%

Most frequent character per script

Value	Count	Frequency (%)
르	51439	4.2%
스	47628	3.9%
리	41012	3.4%
라	37601	3.1%
이	34168	2.8%
아	28759	2.4%
드	26605	2.2%
바	22326	1.8%
루	21286	1.7%
마	21268	1.7%
Other values (695)	888029	72.8%

Value	Count	Frequency (%)
J	5997	29.2%
r	4014	19.5%
A	1973	9.6%
P	1439	7.0%
M	1422	6.9%
R	870	4.2%
T	595	2.9%
C	569	2.8%
Z	553	2.7%
S	522	2.5%
Other values (21)	2606	12.7%

Value	Count	Frequency (%)
	188064	91.2%
.	16426	8.0%
-	1698	0.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1220121	84.3%
ASCII	226719	15.7%
None	29	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
르	51439	4.2%
스	47628	3.9%
리	41012	3.4%
라	37601	3.1%
이	34168	2.8%
아	28759	2.4%
드	26605	2.2%
바	22326	1.8%
루	21286	1.7%
마	21268	1.7%
Other values (695)	888029	72.8%

Value	Count	Frequency (%)
	188064	83.0%
.	16426	7.2%
J	5997	2.6%
r	4014	1.8%
A	1973	0.9%
-	1698	0.7%
P	1439	0.6%
M	1422	0.6%
R	870	0.4%
T	595	0.3%
Other values (19)	4221	1.9%

Value	Count	Frequency (%)
Ö	10	34.5%
Ł	10	34.5%
Ș	7	24.1%
Á	1	3.4%
İ	1	3.4%

선수12
Categorical

HIGH CARDINALITY
MISSING

Distinct	5859
Distinct (%)	2.6%
Missing	2549
Missing (%)	1.1%
Memory size	1.8 MiB

라파엘 바란	10181
루드 굴리트	9632
티보 쿠르투아	6793
버질 반데이크	5544
케빈 더브라위너	4992
Other values (5854)	192439

Length

Max length	13
Median length	7
Mean length	6.291971025
Min length	1

Characters and Unicode

Total characters	1444517
Distinct characters	745
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1664 ?
Unique (%)	0.7%

Sample

1st row	알레시오 크라뇨
2nd row	레뱅 퀴르자와
3rd row	티보 쿠르투아
4th row	조엘 마티프
5th row	케빈 호드리게스

Value	Count	Frequency (%)
라파엘 바란	10181	4.4%
루드 굴리트	9632	4.1%
티보 쿠르투아	6793	2.9%
버질 반데이크	5544	2.4%
케빈 더브라위너	4992	2.2%
손흥민	4950	2.1%
세르주 그나브리	3983	1.7%
프랑크 레이카르트	3359	1.4%
폴 포그바	2943	1.3%
네이마르 Jr.	2762	1.2%
Other values (5849)	174442	75.1%
(Missing)	2549	1.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
라파엘	10228	2.4%
바란	10181	2.4%
루드	9633	2.3%
굴리트	9632	2.3%
티보	6794	1.6%
쿠르투아	6793	1.6%
케빈	6027	1.4%
버질	5544	1.3%
반데이크	5544	1.3%
더브라위너	4992	1.2%
Other values (6352)	342529	82.0%

Most occurring characters

Value	Count	Frequency (%)
	188316	13.0%
르	49323	3.4%
스	46832	3.2%
리	44629	3.1%
라	35839	2.5%
이	33309	2.3%
드	28675	2.0%
아	26231	1.8%
루	24486	1.7%
트	23694	1.6%
Other values (735)	943183	65.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1220626	84.5%
Space Separator	188316	13.0%
Uppercase Letter	15311	1.1%
Other Punctuation	15259	1.1%
Lowercase Letter	2762	0.2%
Dash Punctuation	2243	0.2%

Most frequent character per category

Value	Count	Frequency (%)
르	49323	4.0%
스	46832	3.8%
리	44629	3.7%
라	35839	2.9%
이	33309	2.7%
드	28675	2.3%
아	26231	2.1%
루	24486	2.0%
트	23694	1.9%
바	22508	1.8%
Other values (702)	885100	72.5%

Value	Count	Frequency (%)
J	4307	28.1%
A	1854	12.1%
M	1563	10.2%
P	1231	8.0%
R	842	5.5%
S	695	4.5%
T	647	4.2%
C	627	4.1%
Z	507	3.3%
D	481	3.1%
Other values (19)	2557	16.7%

Value	Count	Frequency (%)
	188316	100.0%

Value	Count	Frequency (%)
.	15259	100.0%

Value	Count	Frequency (%)
-	2243	100.0%

Value	Count	Frequency (%)
r	2762	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1220626	84.5%
Common	205818	14.2%
Latin	18073	1.3%

Most frequent character per script

Value	Count	Frequency (%)
르	49323	4.0%
스	46832	3.8%
리	44629	3.7%
라	35839	2.9%
이	33309	2.7%
드	28675	2.3%
아	26231	2.1%
루	24486	2.0%
트	23694	1.9%
바	22508	1.8%
Other values (702)	885100	72.5%

Value	Count	Frequency (%)
J	4307	23.8%
r	2762	15.3%
A	1854	10.3%
M	1563	8.6%
P	1231	6.8%
R	842	4.7%
S	695	3.8%
T	647	3.6%
C	627	3.5%
Z	507	2.8%
Other values (20)	3038	16.8%

Value	Count	Frequency (%)
	188316	91.5%
.	15259	7.4%
-	2243	1.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1220626	84.5%
ASCII	223824	15.5%
None	67	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
르	49323	4.0%
스	46832	3.8%
리	44629	3.7%
라	35839	2.9%
이	33309	2.7%
드	28675	2.3%
아	26231	2.1%
루	24486	2.0%
트	23694	1.9%
바	22508	1.8%
Other values (702)	885100	72.5%

Value	Count	Frequency (%)
	188316	84.1%
.	15259	6.8%
J	4307	1.9%
r	2762	1.2%
-	2243	1.0%
A	1854	0.8%
M	1563	0.7%
P	1231	0.5%
R	842	0.4%
S	695	0.3%
Other values (19)	4752	2.1%

Value	Count	Frequency (%)
Ö	41	61.2%
Ł	20	29.9%
Ș	3	4.5%
Á	3	4.5%

선수13
Categorical

HIGH CARDINALITY
MISSING

Distinct	5956
Distinct (%)	2.6%
Missing	2505
Missing (%)	1.1%
Memory size	1.8 MiB

루드 굴리트	14445
라파엘 바란	10017
버질 반데이크	4956
티보 쿠르투아	4931
프랑크 레이카르트	4205
Other values (5951)	191071

Length

Max length	13
Median length	7
Mean length	6.31760479
Min length	1

Characters and Unicode

Total characters	1450680
Distinct characters	743
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1671 ?
Unique (%)	0.7%

Sample

1st row	고광민
2nd row	라파엘 바란
3rd row	손흥민
4th row	토마시 홀리
5th row	권용현

Value	Count	Frequency (%)
루드 굴리트	14445	6.2%
라파엘 바란	10017	4.3%
버질 반데이크	4956	2.1%
티보 쿠르투아	4931	2.1%
프랑크 레이카르트	4205	1.8%
세르주 그나브리	4153	1.8%
케빈 더브라위너	3980	1.7%
손흥민	3909	1.7%
요주아 키미히	2279	1.0%
테오 에르난데스	2253	1.0%
Other values (5946)	174497	75.2%
(Missing)	2505	1.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
루드	14448	3.4%
굴리트	14445	3.4%
라파엘	10083	2.4%
바란	10017	2.4%
반데이크	4956	1.2%
버질	4956	1.2%
티보	4931	1.2%
쿠르투아	4931	1.2%
케빈	4830	1.1%
프랑크	4482	1.1%
Other values (6430)	342484	81.4%

Most occurring characters

Value	Count	Frequency (%)
	190938	13.2%
리	50038	3.4%
르	48633	3.4%
스	45207	3.1%
라	33645	2.3%
이	32182	2.2%
드	32097	2.2%
트	29199	2.0%
루	28735	2.0%
아	23349	1.6%
Other values (733)	936657	64.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1225797	84.5%
Space Separator	190938	13.2%
Uppercase Letter	14882	1.0%
Other Punctuation	14628	1.0%
Dash Punctuation	2290	0.2%
Lowercase Letter	2145	0.1%

Most frequent character per category

Value	Count	Frequency (%)
리	50038	4.1%
르	48633	4.0%
스	45207	3.7%
라	33645	2.7%
이	32182	2.6%
드	32097	2.6%
트	29199	2.4%
루	28735	2.3%
아	23349	1.9%
바	22037	1.8%
Other values (700)	880675	71.8%

Value	Count	Frequency (%)
J	3611	24.3%
A	1843	12.4%
M	1571	10.6%
P	1510	10.1%
R	918	6.2%
C	742	5.0%
T	669	4.5%
S	630	4.2%
F	541	3.6%
D	482	3.2%
Other values (19)	2365	15.9%

Value	Count	Frequency (%)
	190938	100.0%

Value	Count	Frequency (%)
.	14628	100.0%

Value	Count	Frequency (%)
-	2290	100.0%

Value	Count	Frequency (%)
r	2145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1225797	84.5%
Common	207856	14.3%
Latin	17027	1.2%

Most frequent character per script

Value	Count	Frequency (%)
리	50038	4.1%
르	48633	4.0%
스	45207	3.7%
라	33645	2.7%
이	32182	2.6%
드	32097	2.6%
트	29199	2.4%
루	28735	2.3%
아	23349	1.9%
바	22037	1.8%
Other values (700)	880675	71.8%

Value	Count	Frequency (%)
J	3611	21.2%
r	2145	12.6%
A	1843	10.8%
M	1571	9.2%
P	1510	8.9%
R	918	5.4%
C	742	4.4%
T	669	3.9%
S	630	3.7%
F	541	3.2%
Other values (20)	2847	16.7%

Value	Count	Frequency (%)
	190938	91.9%
.	14628	7.0%
-	2290	1.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1225797	84.5%
ASCII	224864	15.5%
None	19	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
리	50038	4.1%
르	48633	4.0%
스	45207	3.7%
라	33645	2.7%
이	32182	2.6%
드	32097	2.6%
트	29199	2.4%
루	28735	2.3%
아	23349	1.9%
바	22037	1.8%
Other values (700)	880675	71.8%

Value	Count	Frequency (%)
	190938	84.9%
.	14628	6.5%
J	3611	1.6%
-	2290	1.0%
r	2145	1.0%
A	1843	0.8%
M	1571	0.7%
P	1510	0.7%
R	918	0.4%
C	742	0.3%
Other values (18)	4668	2.1%

Value	Count	Frequency (%)
İ	7	36.8%
Ö	5	26.3%
Ł	3	15.8%
Ș	3	15.8%
Á	1	5.3%

선수14
Categorical

HIGH CARDINALITY
MISSING

Distinct	6080
Distinct (%)	2.6%
Missing	2507
Missing (%)	1.1%
Memory size	1.8 MiB

루드 굴리트	17551
라파엘 바란	8096
프랑크 레이카르트	5366
버질 반데이크	4164
테오 에르난데스	4101
Other values (6075)	190345

Length

Max length	13
Median length	7
Mean length	6.378746903
Min length	1

Characters and Unicode

Total characters	1464707
Distinct characters	761
Distinct categories	7 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1713 ?
Unique (%)	0.7%

Sample

1st row	권용현
2nd row	루드 굴리트
3rd row	프랑크 레이카르트
4th row	버질 반데이크
5th row	페드루 엔히키

Value	Count	Frequency (%)
루드 굴리트	17551	7.6%
라파엘 바란	8096	3.5%
프랑크 레이카르트	5366	2.3%
버질 반데이크	4164	1.8%
테오 에르난데스	4101	1.8%
세르주 그나브리	3428	1.5%
티보 쿠르투아	3426	1.5%
손흥민	3183	1.4%
케빈 더브라위너	2706	1.2%
주앙 칸셀루	2604	1.1%
Other values (6070)	174998	75.4%
(Missing)	2507	1.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
굴리트	17553	4.2%
루드	17551	4.2%
라파엘	8129	1.9%
바란	8096	1.9%
프랑크	5618	1.3%
레이카르트	5366	1.3%
에르난데스	4944	1.2%
버질	4164	1.0%
반데이크	4164	1.0%
테오	4111	1.0%
Other values (6590)	343126	81.2%

Most occurring characters

Value	Count	Frequency (%)
	193199	13.2%
리	53530	3.7%
르	49599	3.4%
스	47370	3.2%
드	34593	2.4%
트	32940	2.2%
루	32492	2.2%
이	31903	2.2%
라	29916	2.0%
레	22288	1.5%
Other values (751)	936877	64.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1238256	84.5%
Space Separator	193199	13.2%
Uppercase Letter	14283	1.0%
Other Punctuation	14103	1.0%
Dash Punctuation	3169	0.2%
Lowercase Letter	1696	0.1%
Decimal Number	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
리	53530	4.3%
르	49599	4.0%
스	47370	3.8%
드	34593	2.8%
트	32940	2.7%
루	32492	2.6%
이	31903	2.6%
라	29916	2.4%
레	22288	1.8%
아	21929	1.8%
Other values (713)	881696	71.2%

Value	Count	Frequency (%)
J	2778	19.4%
A	1856	13.0%
M	1461	10.2%
R	1114	7.8%
T	1063	7.4%
P	1032	7.2%
C	807	5.7%
S	630	4.4%
D	477	3.3%
Z	435	3.0%
Other values (23)	2630	18.4%

Value	Count	Frequency (%)
	193199	100.0%

Value	Count	Frequency (%)
.	14103	100.0%

Value	Count	Frequency (%)
r	1696	100.0%

Value	Count	Frequency (%)
-	3169	100.0%

Value	Count	Frequency (%)
4	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1238256	84.5%
Common	210472	14.4%
Latin	15979	1.1%

Most frequent character per script

Value	Count	Frequency (%)
리	53530	4.3%
르	49599	4.0%
스	47370	3.8%
드	34593	2.8%
트	32940	2.7%
루	32492	2.6%
이	31903	2.6%
라	29916	2.4%
레	22288	1.8%
아	21929	1.8%
Other values (713)	881696	71.2%

Value	Count	Frequency (%)
J	2778	17.4%
A	1856	11.6%
r	1696	10.6%
M	1461	9.1%
R	1114	7.0%
T	1063	6.7%
P	1032	6.5%
C	807	5.1%
S	630	3.9%
D	477	3.0%
Other values (24)	3065	19.2%

Value	Count	Frequency (%)
	193199	91.8%
.	14103	6.7%
-	3169	1.5%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1238256	84.5%
ASCII	226419	15.5%
None	32	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
리	53530	4.3%
르	49599	4.0%
스	47370	3.8%
드	34593	2.8%
트	32940	2.7%
루	32492	2.6%
이	31903	2.6%
라	29916	2.4%
레	22288	1.8%
아	21929	1.8%
Other values (713)	881696	71.2%

Value	Count	Frequency (%)
	193199	85.3%
.	14103	6.2%
-	3169	1.4%
J	2778	1.2%
A	1856	0.8%
r	1696	0.7%
M	1461	0.6%
R	1114	0.5%
T	1063	0.5%
P	1032	0.5%
Other values (20)	4948	2.2%

Value	Count	Frequency (%)
İ	12	37.5%
Ö	8	25.0%
Ș	5	15.6%
Ł	2	6.2%
Ó	2	6.2%
Ü	1	3.1%
Ç	1	3.1%
Á	1	3.1%

선수15
Categorical

HIGH CARDINALITY
MISSING

Distinct	6141
Distinct (%)	2.7%
Missing	2578
Missing (%)	1.1%
Memory size	1.8 MiB

루드 굴리트	19270
테오 에르난데스	7300
라파엘 바란	5297
프랑크 레이카르트	4501
로랑 블랑	3555
Other values (6136)	189629

Length

Max length	13
Median length	7
Mean length	6.455535129
Min length	1

Characters and Unicode

Total characters	1481881
Distinct characters	750
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1726 ?
Unique (%)	0.8%

Sample

1st row	알렉스
2nd row	폴 베르나르도니
3rd row	루드 굴리트
4th row	세르주 그나브리
5th row	A. 사나브리아

Value	Count	Frequency (%)
루드 굴리트	19270	8.3%
테오 에르난데스	7300	3.1%
라파엘 바란	5297	2.3%
프랑크 레이카르트	4501	1.9%
로랑 블랑	3555	1.5%
잔루이지 돈나룸마	2847	1.2%
버질 반데이크	2840	1.2%
세르주 그나브리	2526	1.1%
티보 쿠르투아	2435	1.0%
주앙 칸셀루	2292	1.0%
Other values (6131)	176689	76.1%
(Missing)	2578	1.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
루드	19270	4.5%
굴리트	19270	4.5%
에르난데스	8039	1.9%
테오	7311	1.7%
라파엘	5325	1.3%
바란	5297	1.2%
프랑크	4720	1.1%
레이카르트	4501	1.1%
로랑	3612	0.9%
블랑	3597	0.8%
Other values (6629)	343531	80.9%

Most occurring characters

Value	Count	Frequency (%)
	194921	13.2%
리	56985	3.8%
스	50496	3.4%
르	50048	3.4%
드	36002	2.4%
루	34224	2.3%
트	33253	2.2%
이	31570	2.1%
에	26167	1.8%
라	25378	1.7%
Other values (740)	942837	63.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1252614	84.5%
Space Separator	194921	13.2%
Uppercase Letter	14323	1.0%
Other Punctuation	14179	1.0%
Dash Punctuation	4615	0.3%
Lowercase Letter	1229	0.1%

Most frequent character per category

Value	Count	Frequency (%)
리	56985	4.5%
스	50496	4.0%
르	50048	4.0%
드	36002	2.9%
루	34224	2.7%
트	33253	2.7%
이	31570	2.5%
에	26167	2.1%
라	25378	2.0%
아	21508	1.7%
Other values (707)	886983	70.8%

Value	Count	Frequency (%)
J	2356	16.4%
A	1663	11.6%
T	1301	9.1%
M	1262	8.8%
R	1160	8.1%
S	922	6.4%
C	904	6.3%
P	826	5.8%
F	569	4.0%
D	543	3.8%
Other values (19)	2817	19.7%

Value	Count	Frequency (%)
	194921	100.0%

Value	Count	Frequency (%)
.	14179	100.0%

Value	Count	Frequency (%)
-	4615	100.0%

Value	Count	Frequency (%)
r	1229	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1252614	84.5%
Common	213715	14.4%
Latin	15552	1.0%

Most frequent character per script

Value	Count	Frequency (%)
리	56985	4.5%
스	50496	4.0%
르	50048	4.0%
드	36002	2.9%
루	34224	2.7%
트	33253	2.7%
이	31570	2.5%
에	26167	2.1%
라	25378	2.0%
아	21508	1.7%
Other values (707)	886983	70.8%

Value	Count	Frequency (%)
J	2356	15.1%
A	1663	10.7%
T	1301	8.4%
M	1262	8.1%
r	1229	7.9%
R	1160	7.5%
S	922	5.9%
C	904	5.8%
P	826	5.3%
F	569	3.7%
Other values (20)	3360	21.6%

Value	Count	Frequency (%)
	194921	91.2%
.	14179	6.6%
-	4615	2.2%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1252614	84.5%
ASCII	229245	15.5%
None	22	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
리	56985	4.5%
스	50496	4.0%
르	50048	4.0%
드	36002	2.9%
루	34224	2.7%
트	33253	2.7%
이	31570	2.5%
에	26167	2.1%
라	25378	2.0%
아	21508	1.7%
Other values (707)	886983	70.8%

Value	Count	Frequency (%)
	194921	85.0%
.	14179	6.2%
-	4615	2.0%
J	2356	1.0%
A	1663	0.7%
T	1301	0.6%
M	1262	0.6%
r	1229	0.5%
R	1160	0.5%
S	922	0.4%
Other values (19)	5637	2.5%

Value	Count	Frequency (%)
İ	14	63.6%
Ł	4	18.2%
Ö	3	13.6%
Ș	1	4.5%

선수16
Categorical

HIGH CARDINALITY
MISSING

Distinct	6221
Distinct (%)	2.7%
Missing	2552
Missing (%)	1.1%
Memory size	1.8 MiB

루드 굴리트	16192
테오 에르난데스	12366
알폰소 데이비스	3905
잔루이지 돈나룸마	3640
라파엘 바란	3300
Other values (6216)	190175

Length

Max length	13
Median length	7
Mean length	6.523399455
Min length	1

Characters and Unicode

Total characters	1497629
Distinct characters	752
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1805 ?
Unique (%)	0.8%

Sample

1st row	폴 베르나르도니
2nd row	테오 에르난데스
3rd row	미카엘 라우드루프
4th row	루드 굴리트
5th row	폴 베르나르도니

Value	Count	Frequency (%)
루드 굴리트	16192	7.0%
테오 에르난데스	12366	5.3%
알폰소 데이비스	3905	1.7%
잔루이지 돈나룸마	3640	1.6%
라파엘 바란	3300	1.4%
로랑 블랑	3276	1.4%
아슈라프 하키미	3119	1.3%
에데르 밀리탕	2842	1.2%
프랑크 레이카르트	2733	1.2%
피카요 토모리	2622	1.1%
Other values (6211)	175583	75.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
굴리트	16192	3.8%
루드	16192	3.8%
에르난데스	13092	3.1%
테오	12384	2.9%
데이비스	4022	0.9%
알폰소	3933	0.9%
멘디	3885	0.9%
잔루이지	3663	0.9%
돈나룸마	3642	0.9%
로랑	3328	0.8%
Other values (6707)	344733	81.1%

Most occurring characters

Value	Count	Frequency (%)
	195488	13.1%
스	60749	4.1%
리	57329	3.8%
르	52574	3.5%
에	34034	2.3%
드	32315	2.2%
이	31476	2.1%
루	29873	2.0%
데	27844	1.9%
트	27436	1.8%
Other values (742)	948511	63.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1267438	84.6%
Space Separator	195488	13.1%
Uppercase Letter	14311	1.0%
Other Punctuation	14125	0.9%
Dash Punctuation	5307	0.4%
Lowercase Letter	960	0.1%

Most frequent character per category

Value	Count	Frequency (%)
스	60749	4.8%
리	57329	4.5%
르	52574	4.1%
에	34034	2.7%
드	32315	2.5%
이	31476	2.5%
루	29873	2.4%
데	27844	2.2%
트	27436	2.2%
라	24017	1.9%
Other values (706)	889791	70.2%

Value	Count	Frequency (%)
J	2045	14.3%
A	1849	12.9%
T	1797	12.6%
R	1267	8.9%
M	1133	7.9%
C	928	6.5%
P	719	5.0%
S	591	4.1%
F	560	3.9%
D	469	3.3%
Other values (22)	2953	20.6%

Value	Count	Frequency (%)
	195488	100.0%

Value	Count	Frequency (%)
.	14125	100.0%

Value	Count	Frequency (%)
-	5307	100.0%

Value	Count	Frequency (%)
r	960	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1267438	84.6%
Common	214920	14.4%
Latin	15271	1.0%

Most frequent character per script

Value	Count	Frequency (%)
스	60749	4.8%
리	57329	4.5%
르	52574	4.1%
에	34034	2.7%
드	32315	2.5%
이	31476	2.5%
루	29873	2.4%
데	27844	2.2%
트	27436	2.2%
라	24017	1.9%
Other values (706)	889791	70.2%

Value	Count	Frequency (%)
J	2045	13.4%
A	1849	12.1%
T	1797	11.8%
R	1267	8.3%
M	1133	7.4%
r	960	6.3%
C	928	6.1%
P	719	4.7%
S	591	3.9%
F	560	3.7%
Other values (23)	3422	22.4%

Value	Count	Frequency (%)
	195488	91.0%
.	14125	6.6%
-	5307	2.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1267438	84.6%
ASCII	230168	15.4%
None	23	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
스	60749	4.8%
리	57329	4.5%
르	52574	4.1%
에	34034	2.7%
드	32315	2.5%
이	31476	2.5%
루	29873	2.4%
데	27844	2.2%
트	27436	2.2%
라	24017	1.9%
Other values (706)	889791	70.2%

Value	Count	Frequency (%)
	195488	84.9%
.	14125	6.1%
-	5307	2.3%
J	2045	0.9%
A	1849	0.8%
T	1797	0.8%
R	1267	0.6%
M	1133	0.5%
r	960	0.4%
C	928	0.4%
Other values (19)	5269	2.3%

Value	Count	Frequency (%)
Ö	6	26.1%
Ü	6	26.1%
İ	3	13.0%
Á	3	13.0%
Ł	2	8.7%
Í	2	8.7%
Ó	1	4.3%

선수17
Categorical

HIGH CARDINALITY
MISSING

Distinct	6462
Distinct (%)	2.8%
Missing	2575
Missing (%)	1.1%
Memory size	1.8 MiB

테오 에르난데스	14349
루드 굴리트	10044
에데르 밀리탕	6528
알폰소 데이비스	5908
아슈라프 하키미	5639
Other values (6457)	187087

Length

Max length	15
Median length	7
Mean length	6.505051077
Min length	1

Characters and Unicode

Total characters	1493267
Distinct characters	759
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1955 ?
Unique (%)	0.9%

Sample

1st row	에밀 아우데로
2nd row	이르지 파블렌카
3rd row	페를랑 멘디
4th row	로드리
5th row	에밀 아우데로

Value	Count	Frequency (%)
테오 에르난데스	14349	6.2%
루드 굴리트	10044	4.3%
에데르 밀리탕	6528	2.8%
알폰소 데이비스	5908	2.5%
아슈라프 하키미	5639	2.4%
리스 제임스	5535	2.4%
에우제비우	5344	2.3%
잔루이지 돈나룸마	2849	1.2%
킬리안 음바페	2577	1.1%
피카요 토모리	2461	1.1%
Other values (6452)	168321	72.5%
(Missing)	2575	1.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
에르난데스	14650	3.5%
테오	14371	3.4%
굴리트	10046	2.4%
루드	10044	2.4%
에데르	6533	1.6%
밀리탕	6528	1.6%
제임스	6036	1.4%
데이비스	5985	1.4%
알폰소	5910	1.4%
리스	5657	1.3%
Other values (6902)	335018	79.6%

Most occurring characters

Value	Count	Frequency (%)
	191223	12.8%
스	69342	4.6%
리	56206	3.8%
르	54616	3.7%
에	41379	2.8%
데	35153	2.4%
이	32661	2.2%
드	25607	1.7%
오	24621	1.6%
라	24162	1.6%
Other values (749)	938297	62.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1265264	84.7%
Space Separator	191223	12.8%
Uppercase Letter	15324	1.0%
Other Punctuation	15232	1.0%
Dash Punctuation	5364	0.4%
Lowercase Letter	860	0.1%

Most frequent character per category

Value	Count	Frequency (%)
스	69342	5.5%
리	56206	4.4%
르	54616	4.3%
에	41379	3.3%
데	35153	2.8%
이	32661	2.6%
드	25607	2.0%
오	24621	1.9%
라	24162	1.9%
아	23516	1.9%
Other values (713)	878001	69.4%

Value	Count	Frequency (%)
T	2142	14.0%
J	2035	13.3%
A	1920	12.5%
M	1238	8.1%
R	1025	6.7%
C	968	6.3%
P	850	5.5%
S	656	4.3%
F	624	4.1%
G	526	3.4%
Other values (22)	3340	21.8%

Value	Count	Frequency (%)
	191223	100.0%

Value	Count	Frequency (%)
-	5364	100.0%

Value	Count	Frequency (%)
r	860	100.0%

Value	Count	Frequency (%)
.	15232	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1265264	84.7%
Common	211819	14.2%
Latin	16184	1.1%

Most frequent character per script

Value	Count	Frequency (%)
스	69342	5.5%
리	56206	4.4%
르	54616	4.3%
에	41379	3.3%
데	35153	2.8%
이	32661	2.6%
드	25607	2.0%
오	24621	1.9%
라	24162	1.9%
아	23516	1.9%
Other values (713)	878001	69.4%

Value	Count	Frequency (%)
T	2142	13.2%
J	2035	12.6%
A	1920	11.9%
M	1238	7.6%
R	1025	6.3%
C	968	6.0%
r	860	5.3%
P	850	5.3%
S	656	4.1%
F	624	3.9%
Other values (23)	3866	23.9%

Value	Count	Frequency (%)
	191223	90.3%
.	15232	7.2%
-	5364	2.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1265264	84.7%
ASCII	227986	15.3%
None	17	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
스	69342	5.5%
리	56206	4.4%
르	54616	4.3%
에	41379	3.3%
데	35153	2.8%
이	32661	2.6%
드	25607	2.0%
오	24621	1.9%
라	24162	1.9%
아	23516	1.9%
Other values (713)	878001	69.4%

Value	Count	Frequency (%)
	191223	83.9%
.	15232	6.7%
-	5364	2.4%
T	2142	0.9%
J	2035	0.9%
A	1920	0.8%
M	1238	0.5%
R	1025	0.4%
C	968	0.4%
r	860	0.4%
Other values (19)	5979	2.6%

Value	Count	Frequency (%)
Ł	3	17.6%
Ö	3	17.6%
Á	3	17.6%
İ	3	17.6%
Ș	2	11.8%
Ó	2	11.8%
Ç	1	5.9%

선수18
Categorical

HIGH CARDINALITY
MISSING

Distinct	6773
Distinct (%)	3.0%
Missing	2679
Missing (%)	1.2%
Memory size	1.8 MiB

에우제비우	17225
에데르 밀리탕	8922
리스 제임스	7967
테오 에르난데스	6916
알폰소 데이비스	5892
Other values (6768)	182529

Length

Max length	15
Median length	6
Mean length	6.190537413
Min length	1

Characters and Unicode

Total characters	1420425
Distinct characters	762
Distinct categories	7 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2163 ?
Unique (%)	0.9%

Sample

1st row	김민재
2nd row	주앙 펠릭스
3rd row	테오 에르난데스
4th row	리스 제임스
5th row	김민재

Value	Count	Frequency (%)
에우제비우	17225	7.4%
에데르 밀리탕	8922	3.8%
리스 제임스	7967	3.4%
테오 에르난데스	6916	3.0%
알폰소 데이비스	5892	2.5%
루드 굴리트	4812	2.1%
레길론	4567	2.0%
아슈라프 하키미	4128	1.8%
메이슨 그린우드	2467	1.1%
브랜던 윌리엄스	2277	1.0%
Other values (6763)	164278	70.8%
(Missing)	2679	1.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
에우제비우	17225	4.3%
에데르	8924	2.2%
밀리탕	8922	2.2%
제임스	8350	2.1%
리스	8022	2.0%
에르난데스	7106	1.8%
테오	6922	1.7%
데이비스	5937	1.5%
알폰소	5895	1.5%
굴리트	4830	1.2%
Other values (7175)	318927	79.5%

Most occurring characters

Value	Count	Frequency (%)
	171609	12.1%
스	65939	4.6%
리	53750	3.8%
르	46159	3.2%
에	46068	3.2%
우	43796	3.1%
이	34143	2.4%
비	30153	2.1%
제	29473	2.1%
데	29228	2.1%
Other values (752)	870107	61.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1206592	84.9%
Space Separator	171609	12.1%
Uppercase Letter	18574	1.3%
Other Punctuation	18530	1.3%
Dash Punctuation	4289	0.3%
Lowercase Letter	830	0.1%
Decimal Number	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
스	65939	5.5%
리	53750	4.5%
르	46159	3.8%
에	46068	3.8%
우	43796	3.6%
이	34143	2.8%
비	30153	2.5%
제	29473	2.4%
데	29228	2.4%
드	21816	1.8%
Other values (714)	806067	66.8%

Value	Count	Frequency (%)
J	2454	13.2%
T	2175	11.7%
A	1751	9.4%
M	1553	8.4%
C	1175	6.3%
R	1066	5.7%
E	1029	5.5%
P	954	5.1%
G	926	5.0%
S	847	4.6%
Other values (23)	4644	25.0%

Value	Count	Frequency (%)
	171609	100.0%

Value	Count	Frequency (%)
.	18530	100.0%

Value	Count	Frequency (%)
r	830	100.0%

Value	Count	Frequency (%)
-	4289	100.0%

Value	Count	Frequency (%)
4	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1206592	84.9%
Common	194429	13.7%
Latin	19404	1.4%

Most frequent character per script

Value	Count	Frequency (%)
스	65939	5.5%
리	53750	4.5%
르	46159	3.8%
에	46068	3.8%
우	43796	3.6%
이	34143	2.8%
비	30153	2.5%
제	29473	2.4%
데	29228	2.4%
드	21816	1.8%
Other values (714)	806067	66.8%

Value	Count	Frequency (%)
J	2454	12.6%
T	2175	11.2%
A	1751	9.0%
M	1553	8.0%
C	1175	6.1%
R	1066	5.5%
E	1029	5.3%
P	954	4.9%
G	926	4.8%
S	847	4.4%
Other values (24)	5474	28.2%

Value	Count	Frequency (%)
	171609	88.3%
.	18530	9.5%
-	4289	2.2%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1206592	84.9%
ASCII	213802	15.1%
None	31	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
스	65939	5.5%
리	53750	4.5%
르	46159	3.8%
에	46068	3.8%
우	43796	3.6%
이	34143	2.8%
비	30153	2.5%
제	29473	2.4%
데	29228	2.4%
드	21816	1.8%
Other values (714)	806067	66.8%

Value	Count	Frequency (%)
	171609	80.3%
.	18530	8.7%
-	4289	2.0%
J	2454	1.1%
T	2175	1.0%
A	1751	0.8%
M	1553	0.7%
C	1175	0.5%
R	1066	0.5%
E	1029	0.5%
Other values (21)	8171	3.8%

Value	Count	Frequency (%)
Ł	13	41.9%
Ö	8	25.8%
Ș	3	9.7%
Ó	3	9.7%
Đ	2	6.5%
Ž	1	3.2%
İ	1	3.2%

블락시도
Real number (ℝ_≥0)

ZEROS

Distinct	30
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.048072201
Minimum	0
Maximum	31
Zeros	4290
Zeros (%)	1.8%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	5
median	7
Q3	9
95-th percentile	13
Maximum	31
Range	31
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.488858101
Coefficient of variation (CV)	0.4950088481
Kurtosis	0.5947490913
Mean	7.048072201
Median Absolute Deviation (MAD)	2
Skewness	0.5588590437
Sum	1636069
Variance	12.17213085
Monotocity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
6	27934	12.0%
7	27107	11.7%
5	26191	11.3%
8	24130	10.4%
4	21496	9.3%
9	20006	8.6%
3	15767	6.8%
10	15599	6.7%
11	11506	5.0%
2	9221	4.0%
Other values (20)	33173	14.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4290	1.8%
1	4460	1.9%
2	9221	4.0%
3	15767	6.8%
4	21496	9.3%

Value	Count	Frequency (%)
31	1	< 0.1%
29	1	< 0.1%
27	3	< 0.1%
26	8	< 0.1%
25	18	< 0.1%

블락성공
Real number (ℝ_≥0)

ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.6618705036
Minimum	0
Maximum	7
Zeros	119967
Zeros (%)	51.7%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	7
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8142340694
Coefficient of variation (CV)	1.230201474
Kurtosis	1.459867492
Mean	0.6618705036
Median Absolute Deviation (MAD)	0
Skewness	1.221839886
Sum	153640
Variance	0.6629771197
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	119967	51.7%
1	78781	33.9%
2	26518	11.4%
3	5786	2.5%
4	941	0.4%
5	122	0.1%
6	14	< 0.1%
7	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	119967	51.7%
1	78781	33.9%
2	26518	11.4%
3	5786	2.5%
4	941	0.4%

Value	Count	Frequency (%)
7	1	< 0.1%
6	14	< 0.1%
5	122	0.1%
4	941	0.4%
3	5786	2.5%

태클시도
Real number (ℝ_≥0)

ZEROS

Distinct	57
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	13.62329729
Minimum	0
Maximum	57
Zeros	3050
Zeros (%)	1.3%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	9
median	13
Q3	18
95-th percentile	25
Maximum	57
Range	57
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	6.634507964
Coefficient of variation (CV)	0.4869972241
Kurtosis	0.4638866383
Mean	13.62329729
Median Absolute Deviation (MAD)	4
Skewness	0.5245519115
Sum	3162376
Variance	44.01669592
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12	14252	6.1%
13	14104	6.1%
11	13943	6.0%
10	13635	5.9%
14	13549	5.8%
15	13015	5.6%
9	12665	5.5%
16	12070	5.2%
8	11595	5.0%
17	11117	4.8%
Other values (47)	102185	44.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3050	1.3%
1	1225	0.5%
2	2382	1.0%
3	3651	1.6%
4	5336	2.3%

Value	Count	Frequency (%)
57	1	< 0.1%
56	2	< 0.1%
55	1	< 0.1%
53	3	< 0.1%
52	3	< 0.1%

태클성공
Real number (ℝ_≥0)

ZEROS

Distinct	29
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.041459527
Minimum	0
Maximum	29
Zeros	4107
Zeros (%)	1.8%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	5
median	7
Q3	9
95-th percentile	13
Maximum	29
Range	29
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.440828466
Coefficient of variation (CV)	0.4886527364
Kurtosis	0.3834869153
Mean	7.041459527
Median Absolute Deviation (MAD)	2
Skewness	0.4825178028
Sum	1634534
Variance	11.83930053
Monotocity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
6	27392	11.8%
7	26853	11.6%
5	25812	11.1%
8	24615	10.6%
4	21484	9.3%
9	20419	8.8%
10	16170	7.0%
3	15568	6.7%
11	11763	5.1%
2	9434	4.1%
Other values (19)	32620	14.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4107	1.8%
1	4622	2.0%
2	9434	4.1%
3	15568	6.7%
4	21484	9.3%

Value	Count	Frequency (%)
29	1	< 0.1%
27	4	< 0.1%
26	3	< 0.1%
25	7	< 0.1%
24	12	< 0.1%

패스시도
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	254
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	107.0269676
Minimum	0
Maximum	289
Zeros	2487
Zeros (%)	1.1%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	63
Q1	92
median	107
Q3	123
95-th percentile	153
Maximum	289
Range	289
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	28.96209098
Coefficient of variation (CV)	0.2706055457
Kurtosis	2.379015422
Mean	107.0269676
Median Absolute Deviation (MAD)	15
Skewness	-0.4007904431
Sum	24844170
Variance	838.8027139
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
106	4222	1.8%
107	4162	1.8%
108	4160	1.8%
105	4117	1.8%
103	4113	1.8%
104	4087	1.8%
110	4012	1.7%
101	3980	1.7%
102	3978	1.7%
111	3967	1.7%
Other values (244)	191332	82.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2487	1.1%
1	55	< 0.1%
2	69	< 0.1%
3	39	< 0.1%
4	26	< 0.1%

Value	Count	Frequency (%)
289	1	< 0.1%
271	1	< 0.1%
270	1	< 0.1%
262	1	< 0.1%
261	1	< 0.1%

패스성공
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	236
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	96.19426614
Minimum	0
Maximum	273
Zeros	2523
Zeros (%)	1.1%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	55
Q1	81
median	96
Q3	112
95-th percentile	140
Maximum	273
Range	273
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	27.22128792
Coefficient of variation (CV)	0.2829824377
Kurtosis	1.966105275
Mean	96.19426614
Median Absolute Deviation (MAD)	15
Skewness	-0.2628442207
Sum	22329575
Variance	740.9985162
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
97	4272	1.8%
91	4215	1.8%
92	4193	1.8%
95	4186	1.8%
93	4184	1.8%
96	4168	1.8%
99	4151	1.8%
90	4129	1.8%
94	4116	1.8%
101	4066	1.8%
Other values (226)	190450	82.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2523	1.1%
1	64	< 0.1%
2	47	< 0.1%
3	34	< 0.1%
4	21	< 0.1%

Value	Count	Frequency (%)
273	1	< 0.1%
258	1	< 0.1%
253	1	< 0.1%
247	2	< 0.1%
236	1	< 0.1%

숏패스시도
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	221
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	79.8293327
Minimum	0
Maximum	262
Zeros	2807
Zeros (%)	1.2%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	39
Q1	64
median	79
Q3	95
95-th percentile	123
Maximum	262
Range	262
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	26.21252319
Coefficient of variation (CV)	0.3283570374
Kurtosis	1.181702224
Mean	79.8293327
Median Absolute Deviation (MAD)	15
Skewness	0.02037430735
Sum	18530783
Variance	687.0963717
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
79	4185	1.8%
76	4125	1.8%
77	4121	1.8%
75	4086	1.8%
78	4065	1.8%
82	4056	1.7%
73	4044	1.7%
81	4019	1.7%
80	4017	1.7%
84	4006	1.7%
Other values (211)	191406	82.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2807	1.2%
1	93	< 0.1%
2	50	< 0.1%
3	44	< 0.1%
4	39	< 0.1%

Value	Count	Frequency (%)
262	1	< 0.1%
247	1	< 0.1%
244	1	< 0.1%
238	1	< 0.1%
229	1	< 0.1%

숏패스성공
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	212
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	75.25148408
Minimum	0
Maximum	255
Zeros	2816
Zeros (%)	1.2%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	36
Q1	60
median	75
Q3	90
95-th percentile	117
Maximum	255
Range	255
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	25.13192416
Coefficient of variation (CV)	0.333972472
Kurtosis	1.116478716
Mean	75.25148408
Median Absolute Deviation (MAD)	15
Skewness	0.058844885
Sum	17468127
Variance	631.6136119
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
71	4290	1.8%
76	4276	1.8%
73	4275	1.8%
75	4259	1.8%
69	4236	1.8%
72	4211	1.8%
70	4206	1.8%
74	4202	1.8%
78	4100	1.8%
77	4086	1.8%
Other values (202)	189989	81.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2816	1.2%
1	87	< 0.1%
2	54	< 0.1%
3	47	< 0.1%
4	53	< 0.1%

Value	Count	Frequency (%)
255	1	< 0.1%
234	1	< 0.1%
232	1	< 0.1%
220	1	< 0.1%
219	2	< 0.1%

롱패스시도
Real number (ℝ_≥0)

ZEROS

Distinct	37
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.985495197
Minimum	0
Maximum	68
Zeros	11239
Zeros (%)	4.8%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	5
Q3	7
95-th percentile	11
Maximum	68
Range	68
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.265310575
Coefficient of variation (CV)	0.6549621345
Kurtosis	2.260769863
Mean	4.985495197
Median Absolute Deviation (MAD)	2
Skewness	0.976957296
Sum	1157283
Variance	10.66225315
Monotocity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
4	30283	13.0%
3	30126	13.0%
5	27942	12.0%
2	25916	11.2%
6	23543	10.1%
7	18774	8.1%
1	18035	7.8%
8	14497	6.2%
0	11239	4.8%
9	10265	4.4%
Other values (27)	21510	9.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	11239	4.8%
1	18035	7.8%
2	25916	11.2%
3	30126	13.0%
4	30283	13.0%

Value	Count	Frequency (%)
68	1	< 0.1%
50	1	< 0.1%
43	1	< 0.1%
33	1	< 0.1%
32	4	< 0.1%

롱패스성공
Real number (ℝ_≥0)

ZEROS

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.346943523
Minimum	0
Maximum	63
Zeros	24078
Zeros (%)	10.4%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	5
95-th percentile	8
Maximum	63
Range	63
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.5929889
Coefficient of variation (CV)	0.7747333895
Kurtosis	3.788001654
Mean	3.346943523
Median Absolute Deviation (MAD)	2
Skewness	1.242996779
Sum	776926
Variance	6.723591436
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
2	40921	17.6%
3	37182	16.0%
1	36544	15.7%
4	29906	12.9%
0	24078	10.4%
5	21932	9.4%
6	15083	6.5%
7	9944	4.3%
8	6479	2.8%
9	3996	1.7%
Other values (21)	6065	2.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	24078	10.4%
1	36544	15.7%
2	40921	17.6%
3	37182	16.0%
4	29906	12.9%

Value	Count	Frequency (%)
63	1	< 0.1%
48	1	< 0.1%
29	1	< 0.1%
28	1	< 0.1%
26	3	< 0.1%

쓰루패스시도
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	77
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	18.05487442
Minimum	0
Maximum	85
Zeros	3072
Zeros (%)	1.3%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	7
Q1	13
median	17
Q3	23
95-th percentile	32
Maximum	85
Range	85
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	8.02245088
Coefficient of variation (CV)	0.4443371187
Kurtosis	1.189862957
Mean	18.05487442
Median Absolute Deviation (MAD)	5
Skewness	0.6521103767
Sum	4191078
Variance	64.35971813
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15	12850	5.5%
16	12669	5.5%
17	12593	5.4%
14	12544	5.4%
18	12037	5.2%
13	11922	5.1%
19	11503	5.0%
12	10872	4.7%
20	10843	4.7%
21	10060	4.3%
Other values (67)	114237	49.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3072	1.3%
1	366	0.2%
2	637	0.3%
3	878	0.4%
4	1352	0.6%

Value	Count	Frequency (%)
85	2	< 0.1%
78	1	< 0.1%
75	1	< 0.1%
73	3	< 0.1%
72	2	< 0.1%

쓰루패스성공
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	68
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	14.9236807
Minimum	0
Maximum	74
Zeros	3181
Zeros (%)	1.4%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	10
median	14
Q3	19
95-th percentile	28
Maximum	74
Range	74
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	7.103807885
Coefficient of variation (CV)	0.4760091046
Kurtosis	1.245995507
Mean	14.9236807
Median Absolute Deviation (MAD)	4
Skewness	0.7452798219
Sum	3464234
Variance	50.46408647
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12	14578	6.3%
13	14441	6.2%
11	14265	6.1%
14	14011	6.0%
15	13485	5.8%
10	13101	5.6%
16	12458	5.4%
9	11941	5.1%
17	11461	4.9%
18	10362	4.5%
Other values (58)	102027	44.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3181	1.4%
1	601	0.3%
2	1133	0.5%
3	1807	0.8%
4	3029	1.3%

Value	Count	Frequency (%)
74	1	< 0.1%
73	1	< 0.1%
67	2	< 0.1%
64	1	< 0.1%
63	1	< 0.1%

드리븐패스시도
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	33
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.029151768
Minimum	0
Maximum	36
Zeros	46754
Zeros (%)	20.1%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	9
Maximum	36
Range	36
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.897704618
Coefficient of variation (CV)	0.9566059543
Kurtosis	3.318404576
Mean	3.029151768
Median Absolute Deviation (MAD)	2
Skewness	1.454406035
Sum	703157
Variance	8.396692055
Monotocity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
0	46754	20.1%
1	38470	16.6%
2	35651	15.4%
3	30129	13.0%
4	23564	10.2%
5	17581	7.6%
6	12843	5.5%
7	8852	3.8%
8	6241	2.7%
9	4019	1.7%
Other values (23)	8026	3.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	46754	20.1%
1	38470	16.6%
2	35651	15.4%
3	30129	13.0%
4	23564	10.2%

Value	Count	Frequency (%)
36	1	< 0.1%
31	4	< 0.1%
30	1	< 0.1%
29	4	< 0.1%
28	3	< 0.1%

드리븐패스성공
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.489768664
Minimum	0
Maximum	32
Zeros	58402
Zeros (%)	25.2%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	4
95-th percentile	7
Maximum	32
Range	32
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.55527
Coefficient of variation (CV)	1.026308202
Kurtosis	3.763869118
Mean	2.489768664
Median Absolute Deviation (MAD)	2
Skewness	1.554644732
Sum	577950
Variance	6.529404773
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
0	58402	25.2%
1	43990	19.0%
2	37312	16.1%
3	28950	12.5%
4	21006	9.0%
5	14757	6.4%
6	9989	4.3%
7	6398	2.8%
8	4248	1.8%
9	2592	1.1%
Other values (21)	4486	1.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	58402	25.2%
1	43990	19.0%
2	37312	16.1%
3	28950	12.5%
4	21006	9.0%

Value	Count	Frequency (%)
32	1	< 0.1%
29	2	< 0.1%
28	1	< 0.1%
27	2	< 0.1%
26	6	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	matchID	득점수	전체슈팅	유효슈팅	헤딩슛	프리킥	중거리슛	중거리골	날짜	유저이름	경기결과	부상	드리블횟수	코너킥횟수	점유율	오프사이드횟수	평점	선수1	선수2	선수3	선수4	선수5	선수6	선수7	선수8	선수9	선수10	선수11	선수12	선수13	선수14	선수15	선수16	선수17	선수18	블락시도	블락성공	태클시도	태클성공	패스시도	패스성공	숏패스시도	숏패스성공	롱패스시도	롱패스성공	쓰루패스시도	쓰루패스성공	드리븐패스시도	드리븐패스성공
0	1552303	0	3	1	1	0	1	0	2021-01-23T04:00:32	TeamKoreaNo1	패	1	84	2	51	1	3.63889	김두현	홍명보	조원희	유상철	M. 페르난데스	페테르 굴라치	정산	김신욱	홍철	손흥민	신세계	알레시오 크라뇨	고광민	권용현	알렉스	폴 베르나르도니	에밀 아우데로	김민재	8	0	5	0	125	114	94	90	7	6	17	13	6	5
1	1552304	0	3	2	0	0	3	0	2021-01-23T03:49:12	SaddlerHS	패	1	87	0	51	0	3.52222	에마뉘엘 프티	파벨 네드베드	크리스티아누 호날두	티아구 실바	카일 워커	카밀 글리크	티보 쿠르투아	마티아스 치머만	손흥민	토마시 쿠베크	마우로 이카르디	레뱅 퀴르자와	라파엘 바란	루드 굴리트	폴 베르나르도니	테오 에르난데스	이르지 파블렌카	주앙 펠릭스	8	1	17	9	114	103	81	73	8	8	21	19	3	3
2	1552305	0	3	1	2	0	0	0	2021-01-23T03:38:04	워리어	패	0	75	1	40	0	4.31667	미하엘 발락	파벨 네드베드	스티븐 제라드	크리스티아누 호날두	호나우두	Z. 이브라히모비치	페페	카림 벤제마	아르투로 비달	제롬 보아텡	차범근	티보 쿠르투아	손흥민	프랑크 레이카르트	루드 굴리트	미카엘 라우드루프	페를랑 멘디	테오 에르난데스	14	1	29	10	94	83	71	64	12	9	7	7	4	3
3	1552306	1	9	6	1	1	4	0	2021-01-23T03:25:26	울산이창욱	패	0	119	3	49	0	5.22778	파벨 네드베드	에마뉘엘 프티	미하엘 발락	야프 스탐	호나우두	Z. 이브라히모비치	가레스 베일	이반 페리시치	패트릭 반안홀트	파울리뉴	루카시 흐라데키	조엘 마티프	토마시 홀리	버질 반데이크	세르주 그나브리	루드 굴리트	로드리	리스 제임스	10	0	26	8	164	147	141	131	3	1	10	8	9	7
4	1552307	0	2	0	0	0	0	0	2021-01-23T03:07:50	TeamKoreaNo1	패	0	85	0	49	1	3.76667	김두현	홍명보	조원희	유상철	페테르 굴라치	정산	김신욱	홍철	손흥민	신세계	고광민	케빈 호드리게스	권용현	페드루 엔히키	A. 사나브리아	폴 베르나르도니	에밀 아우데로	김민재	13	0	7	4	120	107	91	89	1	0	19	12	9	6
5	1552308	0	1	0	0	0	0	0	2021-01-23T02:50:15	CrazyWin곽준혁	패	0	110	0	50	0	4.00000	프랭크 램파드	호나우지뉴	토니 크로스	제롬 보아텡	카일 워커	조르디 알바	네이마르 Jr.	C. 판틸리몬	케빈 폴란트	해리 케인	버질 반데이크	닉 포프	세르주 그나브리	마테오 코바치치	루드 굴리트	오마르 에다리	주니어 피르포	에우제비우	8	2	28	17	152	135	128	116	5	5	16	13	2	1
6	1552309	2	6	5	0	1	4	2	2021-01-20T05:02:08	asdfasdfvv	패	0	74	0	48	0	3.99444	패트릭 반안홀트	세르지오 부스케츠	요한 크루이프	버질 반데이크	S. 댈러스	퀸시 프로머스	프랑크 레이카르트	루드 굴리트	클레망 랑글레	티모시 포수-멘사	임민혁	S. 아드리안	M. 오베르마르스	야프 스탐	에드윈 반데르사르	로날트 쿠만	케빈-프린스 보아텡	네벤 수보티치	9	3	5	3	129	114	111	102	4	3	14	9	0	0
7	1552310	1	3	1	0	0	1	0	2021-01-20T04:40:29	읍매	패	0	114	0	60	0	3.93889	미하엘 발락	콰레스마	크리스티아누 호날두	데쿠	페페	브루누 알베스	조르조 키엘리니	나니	주앙 칸셀루	피카요 토모리	송시우	후벵 비나그르	에우제비우	카를로 핀솔리오	티보 쿠르투아	케빈 더브라위너	루드 굴리트	P. 베루아토	7	1	10	6	175	164	153	146	6	6	12	9	3	3
8	1552311	0	2	2	0	0	1	0	2021-01-20T04:29:21	Chajung	패	0	82	1	53	0	3.87778	에데르 밀리탕	에우제비우	미하엘 발락	스티븐 제라드	크리스티아누 호날두	가레스 베일	최철순	마루안 펠라이니	길레르미	이반 페리시치	제롬 보아텡	티보 쿠르투아	조바니 모레노	라파엘 바란	마리우 후이	루크 쇼	페를랑 멘디	Z. 던리	3	0	8	6	110	96	85	76	5	5	17	13	2	2
9	1552312	0	2	2	0	0	2	0	2021-01-20T04:08:24	Uncover오센세	패	0	76	0	49	0	3.25000	케빈 더브라위너	라파엘 바란	버질 반데이크	세르주 그나브리	루드 굴리트	김영빈	잔루이지 돈나룸마	리스 제임스	에우제비우	에마뉘엘 프티	미하엘 발락	에드윈 반데르사르	페페	호세 크레스포	제롬 보아텡	패트릭 반안홀트	네이마르 Jr.	티보 쿠르투아	5	0	5	2	119	104	99	90	4	2	8	7	6	5

Last rows

	matchID	득점수	전체슈팅	유효슈팅	헤딩슛	프리킥	중거리슛	중거리골	패널티킥	패널티골	날짜	유저이름	경기결과	파울	부상	드리블횟수	코너킥횟수	점유율	오프사이드횟수	평점	선수1	선수2	선수3	선수4	선수5	선수6	선수7	선수8	선수9	선수10	선수11	선수12	선수13	선수14	선수15	선수16	선수17	선수18	블락시도	블락성공	태클시도	태클성공	패스시도	패스성공	숏패스시도	숏패스성공	롱패스시도	롱패스성공	쓰루패스시도	쓰루패스성공	드리븐패스시도	드리븐패스성공
232120	1784423	2	7	7	0	0	2	0	0	0	2021-01-21T01:13:12	도루왕나지완	패	1	0	107	3	48	0	4.24444	야프 스탐	리오 퍼디난드	크리스티아누 호날두	박지성	웨인 루니	나니	세르히오 로메로	파비우	로멜루 루카쿠	데헤아	폴 포그바	존 이건	루크 쇼	루드 굴리트	로랑 블랑	마커스 래시포드	티모시 포수-멘사	메이슨 그린우드	2	0	33	16	170	145	119	111	9	6	33	22	7	6
232121	1784424	5	9	6	1	1	2	1	0	0	2021-01-21T00:45:53	도루왕나지완	승	2	0	128	1	52	1	4.28889	야프 스탐	리오 퍼디난드	크리스티아누 호날두	박지성	웨인 루니	나니	파비우	로멜루 루카쿠	데헤아	폴 포그바	존 이건	루크 쇼	루드 굴리트	로랑 블랑	마커스 래시포드	티모시 포수-멘사	메이슨 그린우드	세르히오 로메로	9	0	20	9	164	147	111	105	18	14	25	19	10	9
232122	1784425	3	9	4	0	0	1	0	0	0	2021-01-21T00:24:58	도루왕나지완	승	0	1	84	1	55	0	4.59444	웨인 루니	나니	세르히오 로메로	파비우	로멜루 루카쿠	데헤아	폴 포그바	루크 쇼	루드 굴리트	로랑 블랑	마커스 래시포드	티모시 포수-멘사	메이슨 그린우드	야프 스탐	리오 퍼디난드	크리스티아누 호날두	박지성	존 이건	5	1	11	6	116	96	66	61	10	7	26	21	14	7
232123	1784426	0	5	4	0	0	1	0	0	0	2021-01-19T20:27:01	체육교사	패	0	1	84	1	47	0	3.62222	프랭크 램파드	에르난 크레스포	애슐리 콜	아스미르 베고비치	이반 페리시치	패트릭 반안홀트	페드로	네이마르 Jr.	티보 쿠르투아	라파엘 바란	압둘 라만 바바	루드 굴리트	에두아르 멘디	빌리 길모어	김호수	마르셀 드사이	에마뉘엘 프티	미하엘 발락	13	1	8	4	109	99	81	78	6	6	19	14	1	1
232124	1784427	4	6	6	0	0	0	0	0	0	2021-01-11T01:57:45	도루왕나지완	승	0	0	78	1	53	0	4.73889	크리스티아누 호날두	박지성	웨인 루니	나니	세르히오 로메로	앙헬 디마리아	파비우	하파엘	로멜루 루카쿠	데헤아	폴 포그바	마르코스 로호	루드 굴리트	로랑 블랑	마커스 래시포드	티모시 포수-멘사	라이언 긱스	리오 퍼디난드	5	0	17	14	96	85	60	58	7	7	22	17	5	3
232125	1784428	2	8	5	2	0	1	0	1	1	2021-01-11T01:48:52	동래정씨	승	0	0	70	4	50	0	4.32778	요안 펠레	안드리 퍄토프	안토니오 칸드레바	이반 페리시치	패트릭 반안홀트	카일 워커	네이마르 Jr.	미하엘 발락	스티븐 제라드	크리스티아누 호날두	오카자키 신지	이스마일리	라파엘 바란	버질 반데이크	조지 새빌	루드 굴리트	잔루이지 돈나룸마	엄원상	10	1	7	4	94	83	56	52	15	13	20	17	1	1
232126	1784429	0	8	6	1	0	3	0	0	0	2021-01-11T01:38:00	도루왕나지완	패	1	0	73	2	47	0	3.62778	라이언 긱스	리오 퍼디난드	크리스티아누 호날두	박지성	웨인 루니	나니	세르히오 로메로	앙헬 디마리아	파비우	하파엘	로멜루 루카쿠	데헤아	폴 포그바	마르코스 로호	루드 굴리트	로랑 블랑	마커스 래시포드	티모시 포수-멘사	8	0	17	8	104	89	76	70	9	5	15	11	3	3
232127	1784430	1	8	6	0	1	2	0	0	0	2021-01-11T01:15:07	Sprezzatura92	패	0	1	91	5	51	0	3.57778	루드 굴리트	김진혁	필 포든	에데르 밀리탕	데니스 베르캄프	파벨 네드베드	세스크 파브레가스	로날트 쿠만	패트릭 반안홀트	카일 워커	A. 드라고비치	네이마르 Jr.	루카시 흐라데키	라파엘 바란	버질 반데이크	세르주 그나브리	요나탄 타	프랑크 레이카르트	9	0	11	5	124	114	97	92	1	1	13	9	12	12
232128	1784431	0	5	3	1	0	1	0	0	0	2021-01-11T01:03:43	se7en수제핫도그	무	0	1	80	2	53	0	4.10000	미하엘 발락	솔다도	마누엘 노이어	이반 페리시치	제롬 보아텡	호세 카예혼	R. 레반도프스키	토마스 뮐러	데이비드 알라바	마르코스 로호	세르주 그나브리	사울	레온 고레츠카	니클라스 쥘레	요주아 키미히	코랑탕 톨리소	니콜라 페페	알폰소 데이비스	6	1	22	13	95	81	59	56	3	1	29	24	0	0
232129	1784432	1	4	3	0	0	2	0	0	0	2021-01-11T00:53:50	쭈니홍	패	0	0	89	1	54	0	3.79444	티보 쿠르투아	A. 린데	프랑크 레이카르트	루드 굴리트	치찬 스탄코비치	파페 아부 시세	W. 파리녜스	테오 에르난데스	무사 제네포	리스 제임스	파올로 말디니	마르셀 드사이	미하엘 발락	에르난 크레스포	호나우두	로랑 코시엘니	다비드 루이스	몬토로	9	0	5	3	91	85	70	68	5	4	13	10	3	3

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters